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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 875
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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.83
     perspect
    -0.78
     satell
    -0.78
     facult
    -0.77
     powering
    -0.77
     subsequ
    -0.74
     instinct
    -0.73
     morp
    -0.72
     pudding
    -0.72
     dipping
    -0.72
    POSITIVE LOGITS
     Each
    1.69
     None
    1.61
     Among
    1.56
     These
    1.53
     Those
    1.45
     Eleven
    1.44
     Eight
    1.43
     Four
    1.38
     Three
    1.37
     Included
    1.37
    Activations Density 0.495%

    No Known Activations