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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. 12483
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    Explanations

    phrases related to legal and government issues

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical data and evaluations of societal issues

    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
    ãĤ´ãĥ³
    -0.93
     "@
    -0.78
     "#
    -0.77
     "_
    -0.71
     "-
    -0.71
     "
    -0.70
    %:
    -0.66
    !:
    -0.66
     "$
    -0.65
    ?,
    -0.65
    POSITIVE LOGITS
     [
    1.43
    ,'"
    1.25
     ['
    1.15
    ),"
    1.08
     âĢ¦"
    1.07
    ,"
    1.05
     ..."
    1.03
    ,''
    1.02
    ',"
    0.98
    ?'"
    0.95
    Activations Density 1.645%

    No Known Activations