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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. 4-RES-JB
    11. 19490
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    Explanations

    references to Formula 1 racing events

    oai_token-act-pair · gpt-3.5-turbo

    references to Formula 1 racing

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

    No Comments

    Negative Logits
    inventoryQuantity
    -0.73
    accompanied
    -0.69
    onse
    -0.68
    orative
    -0.68
    essage
    -0.68
    anamo
    -0.67
    Downloadha
    -0.67
    olulu
    -0.66
    retch
    -0.66
    awaru
    -0.65
    POSITIVE LOGITS
     suprem
    0.86
     Classics
    0.77
    omics
    0.77
     Sport
    0.73
    GP
    0.71
     championship
    0.71
     Tournament
    0.71
     championships
    0.71
    gio
    0.70
     legend
    0.69
    Activations Density 0.023%

    No Known Activations