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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. 9-RES-JB
    11. 6048
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    Explanations

    words related to specific dates or events

    oai_token-act-pair · gpt-3.5-turbo

    statements of fact or reported speech

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Afgh
    -0.77
    MpServer
    -0.74
     */
    -0.73
     actionGroup
    -0.72
    */
    -0.68
    corruption
    -0.64
     indu
    -0.64
     warr
    -0.64
    FTWARE
    -0.63
    icter
    -0.63
    POSITIVE LOGITS
     echoed
    1.11
     reply
    1.10
     replied
    1.07
     replies
    1.06
     quotes
    1.04
     echoes
    1.02
     nodded
    1.00
     nods
    0.99
     referring
    0.99
     quotation
    0.92
    Activations Density 0.648%

    No Known Activations