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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. 3-RES-JB
    11. 9100
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    INDEX
    Explanations

    references to events or occasions that mark the debut of something

    oai_token-act-pair · gpt-3.5-turbo

    references to film and show premieres

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nuts
    -0.76
    sol
    -0.70
    agh
    -0.69
    ateg
    -0.68
    ila
    -0.68
    akia
    -0.68
    oran
    -0.68
    vag
    -0.68
    loss
    -0.67
    do
    -0.67
    POSITIVE LOGITS
     premiere
    1.17
     premie
    1.08
     screenings
    0.94
     screening
    0.94
     Premiere
    0.93
     premier
    0.87
     airing
    0.87
     APR
    0.83
     premiered
    0.81
     "$:/
    0.80
    Activations Density 0.008%

    No Known Activations