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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. 3-RES-JB
    11. 12771
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    INDEX
    Explanations

    phrases related to disciplinary actions or procedures

    oai_token-act-pair · gpt-3.5-turbo

    references to disciplinary actions and related processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.72
    htaking
    -0.71
    frey
    -0.69
    ym
    -0.69
    pher
    -0.68
    Phones
    -0.68
    bows
    -0.67
    endor
    -0.67
    imble
    -0.67
    hing
    -0.67
    POSITIVE LOGITS
     disciplinary
    1.24
     proceedings
    0.90
     discipline
    0.86
     inquiry
    0.85
     enqu
    0.84
     reprim
    0.82
     inquiries
    0.82
     punishments
    0.82
     sanction
    0.81
     misconduct
    0.78
    Activations Density 0.011%

    No Known Activations