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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. 8-RES-JB
    11. 400
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    INDEX
    Explanations

    mentions of contributions or contributing to something

    oai_token-act-pair · gpt-3.5-turbo

    references to contributions and their significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    corn
    -0.66
     Lumpur
    -0.64
     Brill
    -0.61
    mares
    -0.60
    Availability
    -0.60
    creen
    -0.60
     Butcher
    -0.59
    awar
    -0.58
    dar
    -0.57
    ñ
    -0.57
    POSITIVE LOGITS
     thereto
    0.86
     towards
    0.76
     Contributions
    0.76
    umed
    0.76
     contribution
    0.76
     contributions
    0.76
    vernment
    0.75
    aires
    0.71
    itivity
    0.71
    idian
    0.71
    Activations Density 0.031%

    No Known Activations