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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. 1-RES-JB
    11. 15731
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    Explanations

    numbers related to statistics or specific values

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific number or statistic

    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
    lying
    -0.72
    gets
    -0.70
    undai
    -0.67
    tons
    -0.67
     flared
    -0.66
    vati
    -0.65
    ordering
    -0.65
    mits
    -0.65
    theless
    -0.64
    uyomi
    -0.64
    POSITIVE LOGITS
    IRC
    0.99
    80
    0.95
    ASC
    0.86
    SPA
    0.86
    ECD
    0.77
    803
    0.77
    70
    0.75
    83
    0.75
    %:
    0.75
    oust
    0.74
    Activations Density 0.023%

    No Known Activations