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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. 2-RES-JB
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    Explanations

    references, specifically at the end of a document

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "References" and its frequency in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onew
    -0.71
    oton
    -0.70
    ART
    -0.68
    ¯¯¯¯
    -0.65
    ridge
    -0.65
    ¯¯¯¯¯¯¯¯
    -0.63
    otos
    -0.62
     wage
    -0.62
    Delivery
    -0.61
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.60
    POSITIVE LOGITS
     references
    0.94
     References
    0.93
    ibly
    0.89
    ibility
    0.82
    enza
    0.81
    ="#
    0.77
     thereto
    0.76
    udo
    0.75
    rences
    0.75
    hips
    0.74
    Activations Density 0.017%

    No Known Activations