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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. 23078
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     ration
    -0.70
     stocking
    -0.69
     cance
    -0.67
     bailed
    -0.66
     await
    -0.66
     careful
    -0.65
     awaited
    -0.65
     deliveries
    -0.64
     lining
    -0.64
    abol
    -0.63
    POSITIVE LOGITS
    edIn
    0.81
     Thumbnails
    0.81
    aching
    0.81
    ãĥ¼ãĤ¯
    0.75
     References
    0.75
    ached
    0.73
    akra
    0.72
    aches
    0.71
     Gutenberg
    0.70
     toile
    0.70
    Activations Density 0.009%

    No Known Activations