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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. 4-RES-JB
    11. 11241
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    Explanations

    names of individuals, specifically focusing on the name "Norton" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or names, particularly those related to the entertainment or political industry

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

    No Comments

    Negative Logits
    rosse
    -0.78
    oning
    -0.73
    OTS
    -0.73
    ________________________________
    -0.72
    ENCY
    -0.71
    robe
    -0.70
    oned
    -0.70
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.70
    operative
    -0.70
     Templ
    -0.68
    POSITIVE LOGITS
    emonic
    0.93
    iferation
    0.92
    swer
    0.92
    usra
    0.90
    guyen
    0.89
    uggets
    0.85
    vana
    0.85
    aughty
    0.83
    ominated
    0.81
    issan
    0.81
    Activations Density 0.047%

    No Known Activations