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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. 3-RES-JB
    11. 6432
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owler
    -0.86
    wcs
    -0.79
    shed
    -0.79
    axter
    -0.75
    RAL
    -0.73
    ramid
    -0.73
    maxwell
    -0.72
    wings
    -0.71
    anmar
    -0.71
    behind
    -0.71
    POSITIVE LOGITS
     dos
    0.92
     Guer
    0.91
     tion
    0.88
     Vie
    0.87
     Torres
    0.86
     Flores
    0.86
     para
    0.84
     Reyes
    0.83
     Moreno
    0.82
    ña
    0.82
    Activations Density 0.246%

    No Known Activations