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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. 13382
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    Explanations

    words related to physical injuries and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries in various contexts

    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
    zee
    -0.86
    zees
    -0.85
    arten
    -0.77
    zsche
    -0.76
    ullivan
    -0.72
    estone
    -0.68
    estine
    -0.67
    tz
    -0.66
    soDeliveryDate
    -0.64
    ennett
    -0.64
    POSITIVE LOGITS
     inflicted
    1.02
     inflic
    0.88
     incurred
    0.87
     prevention
    0.84
     injury
    0.84
     sustained
    0.82
     injuries
    0.80
     suffered
    0.76
     Injury
    0.74
     mitigation
    0.74
    Activations Density 0.020%

    No Known Activations