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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. 6-RES-JB
    11. 1614
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the open parenthesis symbol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     dazz
    -0.75
     lull
    -0.75
     lax
    -0.73
     nitrogen
    -0.72
     mimic
    -0.69
     breathe
    -0.68
     dro
    -0.68
     shine
    -0.67
     tox
    -0.67
     electr
    -0.67
    POSITIVE LOGITS
    ...)
    1.26
    âĢ¦)
    1.23
    ?)
    1.18
    excluding
    1.14
    credit
    1.11
    sic
    1.11
    see
    1.09
    depending
    1.09
    !)
    1.09
    approximately
    1.08
    Activations Density 0.135%

    No Known Activations