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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. 1-RES-JB
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    Explanations

    mentions of unarmed individuals in potentially violent or fatal scenarios

    oai_token-act-pair · gpt-3.5-turbo

    references to unarmed individuals in the context of police-related incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    MER
    -0.90
    DAY
    -0.78
    Reward
    -0.78
    order
    -0.76
    RAM
    -0.73
    dule
    -0.72
    GR
    -0.71
    day
    -0.70
    advertisement
    -0.69
    GER
    -0.69
    POSITIVE LOGITS
     unarmed
    1.43
     disarm
    0.98
     bystand
    0.92
     arming
    0.85
     pacif
    0.85
     uprising
    0.84
    luaj
    0.82
     manslaughter
    0.78
    powder
    0.78
    ntil
    0.77
    Activations Density 0.008%

    No Known Activations