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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. 10-RES-JB
    11. 5079
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    INDEX
    Explanations

    locations expressed as distances away from a specific point

    oai_token-act-pair · gpt-3.5-turbo

    references to distance or proximity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ±
    -0.66
    ogly
    -0.66
    icer
    -0.65
    uala
    -0.64
    adobe
    -0.64
    itely
    -0.63
    ukong
    -0.62
    Prev
    -0.62
    imar
    -0.59
    ergy
    -0.59
    POSITIVE LOGITS
     from
    0.93
    sighted
    0.80
     geographically
    0.74
    lier
    0.73
     ahead
    0.73
    outheast
    0.71
     FROM
    0.68
     located
    0.66
     compared
    0.65
    from
    0.65
    Activations Density 0.077%

    No Known Activations