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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. 18355
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    oai_token-act-pair · gpt-3.5-turbo

    mentions of Twitter handles or user mentions

    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
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    Negative Logits
     Vale
    -0.77
     Aval
    -0.73
     Takeru
    -0.72
     Primordial
    -0.69
     concentrate
    -0.67
     Dracula
    -0.65
     entit
    -0.65
     Reaper
    -0.64
     pneum
    -0.63
     Presents
    -0.63
    POSITIVE LOGITS
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    realDonaldTrump
    1.02
    lat
    0.87
    yss
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    youtube
    0.84
    wik
    0.83
    lis
    0.80
    gmail
    0.80
    LINE
    0.78
    YouTube
    0.77
    Activations Density 0.017%

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