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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. 8-RES-JB
    11. 6541
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    lists or enumerations of items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    scenes
    -0.67
    awaru
    -0.67
    espie
    -0.67
    allowed
    -0.66
     manag
    -0.62
     sway
    -0.62
    leading
    -0.61
    hedon
    -0.61
    wagen
    -0.60
     ethics
    -0.60
    POSITIVE LOGITS
    Password
    1.28
    st
    1.14
     Corinthians
    1.12
    125
    1.00
    120
    0.98
    123
    0.96
    ½
    0.88
    000000
    0.87
    128
    0.86
    ST
    0.82
    Activations Density 0.049%

    No Known Activations