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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. 0-RES-JB
    11. 13712
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    INDEX
    Explanations

    references to the concept of working extra hours beyond the regular work schedule

    oai_token-act-pair · gpt-3.5-turbo

    references to overtime work or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iph
    -0.79
    athe
    -0.68
    vir
    -0.67
    rom
    -0.66
     Begin
    -0.66
     Links
    -0.65
    ster
    -0.64
    Found
    -0.64
    dar
    -0.64
    view
    -0.63
    POSITIVE LOGITS
     overtime
    4.04
     Overt
    1.56
     OT
    1.17
     shootout
    1.14
     halftime
    1.10
     lockout
    1.02
     turnover
    0.99
     layoffs
    0.95
     shorth
    0.94
     scrimmage
    0.92
    Activations Density 0.015%

    No Known Activations