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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of violent acts involving firearms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "shot" in various contexts, particularly related to violence or incidents involving firearms

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Case
    -0.78
    ancial
    -0.77
    norm
    -0.75
    ordinate
    -0.73
    ebook
    -0.72
    functional
    -0.72
    algia
    -0.72
    iasm
    -0.71
    recy
    -0.70
    abulary
    -0.70
    POSITIVE LOGITS
     shot
    1.18
     shots
    1.05
     Shot
    1.02
    shot
    1.00
     shoots
    0.98
     shoot
    0.93
    nikov
    0.88
     Shooting
    0.86
     turrets
    0.84
     Fired
    0.84
    Activations Density 0.020%

    No Known Activations