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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. 0-RES-JB
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    mentions of individuals involved in incidents of violence - particularly focusing on identifying or associating individuals as perpetrators of violent actions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals involved in shooting incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.69
    abled
    -0.67
     =====
    -0.66
     Bened
    -0.65
     Bolton
    -0.64
     Lys
    -0.64
    Reg
    -0.64
    ä½
    -0.63
    orate
    -0.63
    raq
    -0.62
    POSITIVE LOGITS
     shooter
    3.96
     shooters
    3.24
     Shooter
    2.85
     gunman
    2.30
     shooting
    1.88
     snipers
    1.73
     sniper
    1.69
     Shooting
    1.65
     Shoot
    1.64
     shootings
    1.57
    Activations Density 0.015%

    No Known Activations