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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. 7-RES-JB
    11. 14506
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    Explanations

    quantitative information, specifically numbers and figures

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.71
    aceutical
    -0.71
    bender
    -0.69
    tests
    -0.68
    testing
    -0.68
    Lens
    -0.65
    hops
    -0.64
    bernatorial
    -0.64
    lance
    -0.63
    podcast
    -0.63
    POSITIVE LOGITS
     least
    1.04
    onement
    0.92
     odds
    0.82
     halftime
    0.82
     dusk
    0.82
     midnight
    0.78
    mega
    0.77
    yp
    0.76
     noon
    0.76
    las
    0.75
    Activations Density 0.130%

    No Known Activations