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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

    mentions of unarmed individuals being involved in violent incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to unarmed individuals, particularly in contexts of violence or police encounters

    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
    nosis
    -0.85
    hr
    -0.75
    URI
    -0.74
     Publication
    -0.73
    MER
    -0.72
    order
    -0.72
    hazard
    -0.72
    emetery
    -0.72
    Office
    -0.71
    DAY
    -0.71
    POSITIVE LOGITS
     unarmed
    1.30
     bystand
    0.94
     uprising
    0.93
     disarm
    0.92
     insurrection
    0.84
     bystanders
    0.83
     pacif
    0.82
    ength
    0.79
     manslaughter
    0.79
     strikers
    0.74
    Activations Density 0.020%

    No Known Activations