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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. 9652
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    Explanations

    mentions of the news agency "Reuters."

    oai_token-act-pair · gpt-3.5-turbo

    references to the news agency Reuters

    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
    chest
    -0.84
    inent
    -0.77
    rette
    -0.76
    vil
    -0.74
    ¯¯¯¯¯¯¯¯
    -0.71
    ggle
    -0.70
    pired
    -0.70
    inence
    -0.68
    starter
    -0.67
    hma
    -0.66
    POSITIVE LOGITS
    PLIED
    0.85
     Thomson
    0.72
     Reuters
    0.72
    BIL
    0.71
    Money
    0.71
     Newsp
    0.71
    sburg
    0.69
     Images
    0.69
     correspondent
    0.68
    externalActionCode
    0.68
    Activations Density 0.009%

    No Known Activations