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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. 9644
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    Explanations

    words related to dairy products

    oai_token-act-pair · gpt-3.5-turbo

    references to dairy products and related terms

    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
    inx
    -0.86
    reads
    -0.77
    andum
    -0.72
    */(
    -0.71
    arters
    -0.70
    itudinal
    -0.68
    itud
    -0.67
     Antar
    -0.65
    ongs
    -0.63
    uyomi
    -0.63
    POSITIVE LOGITS
     cows
    0.89
    haus
    0.88
    mil
    0.87
    bean
    0.86
     dairy
    0.83
     Milk
    0.82
    maid
    0.82
    weed
    0.81
     milk
    0.78
     farm
    0.77
    Activations Density 0.019%

    No Known Activations