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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. 4030
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    Explanations

    text related to research findings and studies

    oai_token-act-pair · gpt-3.5-turbo

    references to ongoing research and its implications

    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
     Whilst
    -1.25
     whilst
    -1.24
     [/
    -0.99
    Âł
    -0.99
     ðŁĻĤ
    -0.95
    â̦..
    -0.95
    "â̦
    -0.92
    ↵Âł
    -0.91
     ³³
    -0.89
     ðŁĺ
    -0.89
    POSITIVE LOGITS
     cellphone
    0.78
     nonprofits
    0.75
     pricey
    0.74
    dozen
    0.72
    earchers
    0.72
    ___
    0.71
     nonprofit
    0.70
     automakers
    0.69
     sprawling
    0.69
     aides
    0.64
    Activations Density 1.739%

    No Known Activations