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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. 10811
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    INDEX
    Explanations

    quantifiable amounts or quantities mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to quantity or amount

    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
     Seat
    -0.71
     Frontier
    -0.68
     Kor
    -0.64
     Harding
    -0.63
    Blade
    -0.63
     Shack
    -0.63
    è¦
    -0.62
     cradle
    -0.61
     Pioneer
    -0.60
    inating
    -0.60
    POSITIVE LOGITS
     amounts
    1.00
     amount
    0.98
    ngth
    0.86
     quantities
    0.78
    pour
    0.77
    encies
    0.72
    ucha
    0.71
     ingested
    0.71
    conserv
    0.71
     sums
    0.69
    Activations Density 0.034%

    No Known Activations