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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. 11-RES-JB
    11. 12990
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    Explanations

    statements or opinions expressed by individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of reported speech or expressions of opinion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actly
    -0.54
    ================================================================
    -0.52
     viz
    -0.50
    "},"
    -0.49
    prus
    -0.49
     namely
    -0.47
     ILCS
    -0.45
    adesh
    -0.45
    mania
    -0.45
    speech
    -0.45
    POSITIVE LOGITS
    ,
    0.95
    !,
    0.74
    ,,
    0.72
    *,
    0.71
    .,
    0.71
    ?,
    0.70
    ,-
    0.67
    ,[
    0.65
    ,...
    0.60
     ,
    0.57
    Activations Density 0.140%

    No Known Activations