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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 24103
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    Explanations

    individualized statements or perspectives

    oai_token-act-pair · gpt-3.5-turbo

    connections or relationships between subjects or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ":-
    -0.67
     (?,
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    hess
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    ourse
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     sclerosis
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    malink
    -0.63
    7601
    -0.61
    usercontent
    -0.60
     Nare
    -0.59
    enes
    -0.58
    POSITIVE LOGITS
    arently
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    ardless
    0.76
    )</
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    ĪĴ
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    ãĥ¼ãĥĨãĤ£
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    -)
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    ãĥĭ
    0.64
    itored
    0.63
     incidentally
    0.63
    ãĤ¨ãĥ«
    0.63
    Activations Density 0.274%

    No Known Activations