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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    references to events involving the Israeli military

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Israeli," particularly in contexts related to conflict and military actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mson
    -0.92
    aunder
    -0.91
    utic
    -0.87
    unin
    -0.87
    byss
    -0.86
    iddler
    -0.85
    luaj
    -0.82
    owler
    -0.76
    orsche
    -0.73
    heet
    -0.73
    POSITIVE LOGITS
    apolis
    0.96
     embassy
    0.87
     Embassy
    0.85
     Defence
    0.82
     soil
    0.78
     Aviv
    0.76
     Defense
    0.76
     sett
    0.73
     occupation
    0.73
     Israeli
    0.72
    Activations Density 0.016%

    No Known Activations