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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. 3-RES-JB
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    Explanations

    words related to violent incidents involving gunmen

    oai_token-act-pair · gpt-3.5-turbo

    references to gunmen or shooters involved in violent incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Grid
    -0.73
    hw
    -0.72
    arb
    -0.71
    Medium
    -0.69
    rates
    -0.68
     Dragons
    -0.67
    Bed
    -0.66
    amins
    -0.65
     Yok
    -0.64
    Beer
    -0.64
    POSITIVE LOGITS
     gunman
    1.18
     shooter
    1.08
     gunned
    0.95
     gunmen
    0.90
    powder
    0.87
     shooters
    0.86
     Shooter
    0.85
     shooting
    0.83
     assailant
    0.81
     snipers
    0.79
    Activations Density 0.016%

    No Known Activations