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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
    11. 16071
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    mentions of free offerings or services

    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
    Not in Any Lists

    No Comments

    Negative Logits
    itect
    -0.84
    need
    -0.76
    arre
    -0.71
     Wink
    -0.69
     Matters
    -0.68
    ilater
    -0.68
     Held
    -0.68
    older
    -0.68
    ulous
    -0.66
    onductor
    -0.64
    POSITIVE LOGITS
    bies
    1.19
    zes
    0.92
     roam
    0.91
    zers
    0.89
    bie
    0.88
    zing
    0.86
     downloadable
    0.78
    ze
    0.75
     indemn
    0.74
     fare
    0.74
    Activations Density 0.031%

    No Known Activations