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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    5. 2-RES-JB
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    Explanations

    information related to violent incidents involving gunmen

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "gunman" and related terms in the context of violent incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rates
    -0.73
    Beer
    -0.70
    Medium
    -0.68
     Dragons
    -0.68
    DVD
    -0.67
    hw
    -0.66
    Bra
    -0.66
    arb
    -0.66
     Yok
    -0.65
    Weight
    -0.65
    POSITIVE LOGITS
     gunman
    1.26
     shooter
    1.08
     gunmen
    1.05
     gunned
    0.94
     Shooter
    0.94
     shooters
    0.89
     shooting
    0.88
    powder
    0.87
     assailant
    0.84
     snipers
    0.83
    Activations Density 0.018%

    No Known Activations