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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. 7384
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific symbol or character throughout the text

    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
     seiz
    -0.68
     sidx
    -0.65
     Downs
    -0.65
     Barrier
    -0.64
     Triangle
    -0.63
     Phant
    -0.63
     Plays
    -0.63
     Sandwich
    -0.62
     Shroud
    -0.61
     rugby
    -0.61
    POSITIVE LOGITS
    ĸļ
    0.87
    º
    0.85
    ¬
    0.82
    ella
    0.79
    ķ
    0.78
    Ń
    0.77
    £
    0.76
    _>
    0.76
    Ĵ
    0.74
    ¡
    0.73
    Activations Density 0.149%

    No Known Activations