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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. 18394
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    Explanations

    words related to management and control, especially in contexts like labor-management cooperation and healthcare management

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to management and healthcare issues

    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
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    Negative Logits
    pora
    -0.87
    cius
    -0.78
    RAW
    -0.76
    ideo
    -0.76
    irlf
    -0.75
    Alias
    -0.74
    GMT
    -0.72
    ONEY
    -0.70
     Daylight
    -0.69
    aido
    -0.67
    POSITIVE LOGITS
    tenance
    0.88
     hybrids
    0.83
    osterone
    0.82
     hybrid
    0.81
     extraord
    0.74
    roying
    0.73
     complexes
    0.70
    rior
    0.70
    ing
    0.70
     goodness
    0.69
    Activations Density 0.223%

    No Known Activations