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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. 10-RES-JB
    11. 5523
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    Explanations

    mentions of physical injuries

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries and their severity in incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adian
    -0.67
    gres
    -0.65
     snipp
    -0.65
    HOU
    -0.64
    ullivan
    -0.63
     Clubs
    -0.63
    population
    -0.63
    arten
    -0.61
    compan
    -0.61
    ramid
    -0.61
    POSITIVE LOGITS
     inflicted
    1.44
     sustained
    1.21
     incurred
    1.18
     suffered
    1.14
     caused
    0.97
     attributed
    0.84
     inflicting
    0.81
     arising
    0.80
    letal
    0.78
     inhal
    0.78
    Activations Density 0.063%

    No Known Activations