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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. 4963
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    INDEX
    Explanations

    mentions of specific dates and locations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to urban issues and societal discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    $$$$
    -0.86
    addons
    -0.71
     ILCS
    -0.71
    morrow
    -0.69
    Quantity
    -0.66
    ocaust
    -0.64
    icides
    -0.63
     Airl
    -0.61
     Calais
    -0.61
    obyl
    -0.61
    POSITIVE LOGITS
     excerpt
    1.33
     gist
    1.32
     excerpts
    1.24
    itled
    1.09
    cerpt
    0.97
     pertinent
    0.97
     nutshell
    0.96
    Specifically
    0.96
     summarize
    0.96
     summarized
    0.93
    Activations Density 0.552%

    No Known Activations