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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. 11-RES-JB
    11. 3701
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    Explanations

    words related to performance evaluations or assessments

    oai_token-act-pair · gpt-3.5-turbo

    multiple instances of the term "performance" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    sonian
    -0.92
    ship
    -0.81
    ski
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    cott
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    Ĥª
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    rir
    -0.74
    yu
    -0.72
    yg
    -0.71
    sight
    -0.71
    enthal
    -0.71
    POSITIVE LOGITS
     enhancing
    1.08
     enh
    0.98
     evaluations
    0.92
     enhancement
    0.90
     appraisal
    0.85
     Enh
    0.82
     evaluation
    0.79
     ethic
    0.77
    istics
    0.76
     metrics
    0.76
    Activations Density 0.070%

    No Known Activations