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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. 9-RES-JB
    11. 13846
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    Explanations

    mentions of the news agency "Reuters"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chest
    -0.90
    pired
    -0.78
    inent
    -0.76
    rette
    -0.73
    pires
    -0.73
    jury
    -0.73
    rous
    -0.73
    band
    -0.72
    ¯¯¯¯¯¯¯¯
    -0.72
    abase
    -0.69
    POSITIVE LOGITS
     Newsp
    0.75
    Money
    0.74
    Ãį
    0.74
    sburg
    0.73
    PLIED
    0.73
     correspondent
    0.73
    Film
    0.72
     Corp
    0.72
     Markets
    0.72
    PLA
    0.71
    Activations Density 0.026%

    No Known Activations