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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. 7-RES-JB
    11. 20053
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    terms related to cattle and livestock

    oai_token-act-pair · gpt-3.5-turbo

    terms related to cattle and livestock

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    uyomi
    -0.74
    AMI
    -0.73
    âĸ¬
    -0.72
     Bleach
    -0.71
    asio
    -0.70
     Hacker
    -0.68
    ãĥ´ãĤ¡
    -0.67
     Nept
    -0.66
    FTWARE
    -0.66
     fortun
    -0.65
    POSITIVE LOGITS
     grazing
    1.12
     herds
    1.06
     carc
    1.00
     pasture
    0.98
     graz
    0.95
     cattle
    0.92
     ranch
    0.92
    boys
    0.89
     herd
    0.89
    yards
    0.88
    Activations Density 0.043%

    No Known Activations