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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. 10-RES-JB
    11. 7212
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    Explanations

    phrases and names in mixed text with specific formatting markers

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to various film and media titles or themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     tremend
    -0.85
     newsp
    -0.74
    hement
    -0.72
     citiz
    -0.67
    ilipp
    -0.65
     grid
    -0.63
     precaution
    -0.62
    xual
    -0.61
     thous
    -0.60
     experien
    -0.60
    POSITIVE LOGITS
    ³³³³³³³³³³³³³³³³
    1.02
    ³³³³³³³³
    0.96
    ³³³
    0.91
    minster
    0.85
    ³³³³
    0.84
    ³³
    0.80
    ↵
    0.80
    Premium
    0.77
    Round
    0.77
    Alright
    0.77
    Activations Density 0.154%

    No Known Activations