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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. 6-RES-JB
    11. 13944
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    INDEX
    Explanations

    actions related to sports, especially strikeouts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to exits or being eliminated from situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etary
    -0.68
     proofs
    -0.63
    cius
    -0.62
    iosity
    -0.62
     mounts
    -0.62
     interstellar
    -0.61
    esa
    -0.61
    interstitial
    -0.61
     Yen
    -0.60
     CLR
    -0.60
    POSITIVE LOGITS
    stretched
    0.89
    played
    0.79
    cast
    0.77
    sole
    0.75
    jured
    0.74
    houses
    0.73
    house
    0.70
    worked
    0.70
    last
    0.69
    whelming
    0.69
    Activations Density 0.047%

    No Known Activations