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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. 6-RES-JB
    11. 13831
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    icum
    -0.96
    undai
    -0.85
    ajo
    -0.81
    uras
    -0.80
    etheless
    -0.79
    ibur
    -0.79
    ooked
    -0.79
    iped
    -0.78
    alsa
    -0.76
    laus
    -0.76
    POSITIVE LOGITS
    âĢ¢âĢ¢
    1.28
    âĢ¢âĢ¢âĢ¢âĢ¢
    1.21
    ï¸ı
    0.87
     FANTASY
    0.74
    âĸł
    0.73
    ï¸
    0.72
     âĢ¢
    0.72
    ··
    0.68
    Bloomberg
    0.68
     Cosmos
    0.68
    Activations Density 0.023%

    No Known Activations