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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 4275
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    Explanations

    verbs in the ‛ing’ form

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to emotional vulnerability and personal introspection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ickr
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     :=
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    xtap
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     Latest
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     Emails
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    reenshots
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     partName
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     âĨ
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     Webs
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     Details
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    POSITIVE LOGITS
    ]."
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    )."
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    ".
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    '."
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    ).[
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    ."[
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    Activations Density 5.441%

    No Known Activations