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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. 7-RES-JB
    11. 13666
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    Explanations

    information related to injuries

    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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tz
    -0.86
    ramid
    -0.79
    zsche
    -0.75
    ullivan
    -0.74
    zee
    -0.73
    esters
    -0.72
    soDeliveryDate
    -0.70
    ogle
    -0.66
    adian
    -0.65
    arten
    -0.65
    POSITIVE LOGITS
     inflicted
    1.37
     incurred
    1.14
     sustained
    1.05
     suffered
    0.98
     injuries
    0.87
     inflic
    0.87
    letal
    0.86
     victims
    0.81
     caused
    0.80
     Survivors
    0.77
    Activations Density 0.043%

    No Known Activations