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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. 6195
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    Explanations

    keywords related to a specific topic, which in this case seems to be the Benghazi incident

    oai_token-act-pair · gpt-3.5-turbo

    references to the Benghazi incident

    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
    ulton
    -0.89
    UGC
    -0.77
    SHIP
    -0.76
    pex
    -0.76
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.71
    share
    -0.70
    ————————————————
    -0.68
    spl
    -0.68
    theless
    -0.68
    hirt
    -0.68
    POSITIVE LOGITS
    ghazi
    1.11
     Benghazi
    0.93
     consulate
    0.88
     annex
    0.87
     Libya
    0.83
     Rodham
    0.76
     Annex
    0.75
     burgl
    0.74
     Massacre
    0.71
     Attacks
    0.70
    Activations Density 0.010%

    No Known Activations