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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. 9-RES-JB
    11. 23635
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    INDEX
    Explanations

    phrases indicating evaluations or opinions

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicating relationships or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    skirts
    -0.84
    indal
    -0.82
    FTWARE
    -0.81
    doms
    -0.75
    mber
    -0.71
     Cosponsors
    -0.70
    >:
    -0.70
    ospace
    -0.70
    ptives
    -0.68
    âĸº
    -0.67
    POSITIVE LOGITS
     guessed
    0.70
     rightly
    0.69
     plaus
    0.64
     paraph
    0.64
     aggregate
    0.64
     essence
    0.63
     conjecture
    0.63
     anecd
    0.62
     Bloom
    0.61
     quote
    0.60
    Activations Density 0.223%

    No Known Activations