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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. 12122
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    oai_token-act-pair · gpt-3.5-turbo
    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
    odox
    -0.67
    culated
    -0.65
    gow
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    orate
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    hed
    -0.60
    ritten
    -0.60
    gered
    -0.59
    onica
    -0.59
    oland
    -0.59
     Canaver
    -0.59
    POSITIVE LOGITS
    <|endoftext|>
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     âĢ¢
    1.00
    âĹı
    0.97
     Firstly
    0.94
    âĢ¢
    0.88
    ↵Âł
    0.88
    Activations Density 0.107%

    No Known Activations