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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. 0-RES-JB
    11. 511
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    Explanations

    terms related to statistical analysis and data processing

    oai_token-act-pair · gpt-3.5-turbo

    references to participants in a study or analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Beer
    -0.69
    ãĥ¥
    -0.67
    tin
    -0.66
    tain
    -0.65
    Scan
    -0.63
    Ry
    -0.62
    beer
    -0.61
    Tan
    -0.61
    tained
    -0.60
     Rack
    -0.59
    POSITIVE LOGITS
    inventoryQuantity
    0.78
    etheless
    0.73
    anwhile
    0.69
     oun
    0.69
    ernandez
    0.68
    bernatorial
    0.68
    raints
    0.68
    erity
    0.68
    endas
    0.66
    keye
    0.66
    Activations Density 0.000%

    No Known Activations