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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

    references to firearms, especially rifles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to firearms, specifically rifles

    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
     Archdemon
    -0.83
     Upton
    -0.70
    eff
    -0.70
     Rowling
    -0.69
    graded
    -0.67
     Bland
    -0.66
    healthy
    -0.63
     Strawberry
    -0.62
     Ceres
    -0.62
     Sleep
    -0.62
    POSITIVE LOGITS
     rifles
    1.17
     rifle
    1.10
     cartridges
    0.92
     shooters
    0.92
     Rifle
    0.91
     shooter
    0.90
     Shooter
    0.89
     barrels
    0.86
     ammunition
    0.82
     ammo
    0.82
    Activations Density 0.008%

    No Known Activations