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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    references to governmental figures, specifically senators

    oai_token-act-pair · gpt-3.5-turbo

    references to senators or legislative bodies

    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
    ãĥŁ
    -0.71
    order
    -0.68
    MER
    -0.67
    ãĤ¨ãĥ«
    -0.66
    --+
    -0.65
    aque
    -0.64
    ASED
    -0.64
    phal
    -0.64
    gged
    -0.63
    given
    -0.62
    POSITIVE LOGITS
     senators
    1.15
    ratulations
    1.06
     senator
    0.93
    iors
    0.92
    eca
    0.92
    rats
    0.84
    hip
    0.83
     senate
    0.80
     Senators
    0.78
    arians
    0.76
    Activations Density 0.005%

    No Known Activations