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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. 12564
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    Explanations

    statements or quotations made by different individuals

    oai_token-act-pair · gpt-3.5-turbo

    sentences or statements made by people

    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
     mosqu
    -0.77
     doses
    -0.70
     extinguished
    -0.69
     unex
    -0.69
     consume
    -0.68
     utter
    -0.68
     brewed
    -0.67
     settled
    -0.67
     metic
    -0.67
     spoiled
    -0.67
    POSITIVE LOGITS
     Then
    0.87
     But
    0.87
     That
    0.86
     Because
    0.85
     Perhaps
    0.85
     Whether
    0.84
     They
    0.83
     '[
    0.82
     Above
    0.81
     Something
    0.81
    Activations Density 0.276%

    No Known Activations