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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. 8-RES-JB
    11. 13011
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    Explanations

    instances where individuals are facing consequences or discipline

    oai_token-act-pair · gpt-3.5-turbo

    terms related to disciplinary actions and penalties

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    tein
    -0.73
    rouse
    -0.72
    ties
    -0.64
    itar
    -0.63
    NetMessage
    -0.62
    Est
    -0.62
     ray
    -0.61
     vantage
    -0.60
     borne
    -0.59
     convergence
    -0.59
    POSITIVE LOGITS
     unfairly
    0.94
    uled
    0.85
     by
    0.83
     merciless
    0.82
     criminally
    0.79
     aback
    0.79
     harshly
    0.78
    ð
    0.77
     repeatedly
    0.76
    heet
    0.73
    Activations Density 0.181%

    No Known Activations