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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. 1-RES-JB
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    Explanations

    mentions of the Senate

    oai_token-act-pair · gpt-3.5-turbo

    references to the Senate in legislative contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     à¨
    -0.70
     SPI
    -0.68
    resp
    -0.67
     DRM
    -0.64
     Niet
    -0.61
    ãģ¦
    -0.61
    ãĤ½
    -0.61
    ternity
    -0.60
    ãĤ¨ãĥ«
    -0.58
     RIP
    -0.58
    POSITIVE LOGITS
    Senate
    1.04
     senators
    0.95
     Senate
    0.94
     senate
    0.93
     senator
    0.82
     Judiciary
    0.82
     Committee
    0.79
    rats
    0.78
    ratulations
    0.78
     Senators
    0.78
    Activations Density 0.013%

    No Known Activations