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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. 4-RES-JB
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    Explanations

    lines related to user actions and database interactions

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and components related to software and databases

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

    Negative Logits
    ment
    -0.75
    bra
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    Phys
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    âĢ¢âĢ¢
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    SHIP
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    bal
    -0.65
    aways
    -0.64
    lier
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    train
    -0.63
    away
    -0.62
    POSITIVE LOGITS
    ettings
    1.31
    ilver
    1.20
    chool
    1.18
    omething
    1.14
    paces
    1.13
    aurus
    1.13
    poons
    1.11
    hip
    1.11
    etting
    1.09
    hips
    1.06
    Activations Density 0.706%

    No Known Activations