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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. 5512
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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 @ 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
     bluff
    -0.69
     unanim
    -0.67
     pse
    -0.67
     pity
    -0.66
     guesses
    -0.66
     gib
    -0.63
    iban
    -0.62
     foul
    -0.61
    argon
    -0.58
     spoilers
    -0.58
    POSITIVE LOGITS
    .","
    0.96
     via
    0.90
     globally
    0.90
     through
    0.82
     worldwide
    0.81
     leveraging
    0.81
    foundation
    0.80
     exponentially
    0.80
    pace
    0.79
    paces
    0.78
    Activations Density 0.462%

    No Known Activations