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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. 6-RES-JB
    11. 14939
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    Explanations

    mentions of bullets

    oai_token-act-pair · gpt-3.5-turbo

    references to bullets, particularly in the context of firearms and their effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UTC
    -0.77
    CRE
    -0.74
     Suc
    -0.73
    River
    -0.73
    ECA
    -0.71
    wcsstore
    -0.70
    OURCE
    -0.69
    Place
    -0.67
     latitude
    -0.66
    natureconservancy
    -0.66
    POSITIVE LOGITS
    proof
    1.19
     bullets
    1.00
     bullet
    0.93
     holes
    0.86
     Bullet
    0.82
     dodged
    0.81
    guns
    0.79
    hook
    0.78
     cartridges
    0.77
    bite
    0.77
    Activations Density 0.016%

    No Known Activations