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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. 4-RES-JB
    11. 2102
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    Explanations

    phrases related to severe or potentially life-threatening situations

    oai_token-act-pair · gpt-3.5-turbo

    the term "critical" in various contexts indicating urgency or importance

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

    No Comments

    Negative Logits
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.83
    bows
    -0.75
    Mania
    -0.75
    boat
    -0.74
    UAL
    -0.73
    uated
    -0.71
    ILA
    -0.70
     Hots
    -0.67
     Volunteers
    -0.67
    eez
    -0.67
    POSITIVE LOGITS
     importance
    0.88
     components
    0.85
     critical
    0.80
     acclaim
    0.80
    arial
    0.80
     elements
    0.76
     appraisal
    0.74
     component
    0.72
     Role
    0.72
     sections
    0.72
    Activations Density 0.011%

    No Known Activations