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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. 10945
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    Explanations

    names of places

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory or emotional interjections and sounds

    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
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    Negative Logits
    ĪĴ
    -0.86
    ICAN
    -0.74
    ISION
    -0.69
    Ļ½
    -0.69
     Calais
    -0.68
    ¥ŀ
    -0.65
    ONSORED
    -0.65
    ISON
    -0.64
     visitation
    -0.64
     Samar
    -0.64
    POSITIVE LOGITS
    glers
    0.87
    bley
    0.80
    bite
    0.79
    odon
    0.78
    wear
    0.77
    puff
    0.75
    kered
    0.75
    ety
    0.74
    oslav
    0.73
    clips
    0.72
    Activations Density 0.062%

    No Known Activations