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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. 9-RES-JB
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    Explanations

    mentions of the country Israel in a text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Israeli" in the context of military actions and conflicts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unin
    -0.88
    mson
    -0.87
    utic
    -0.83
    aunder
    -0.79
    ttes
    -0.76
    rencies
    -0.75
    lv
    -0.73
    luaj
    -0.72
    enance
    -0.71
    byss
    -0.70
    POSITIVE LOGITS
    apolis
    0.91
     Aviv
    0.89
    anyahu
    0.87
     embassy
    0.85
     Embassy
    0.83
     Defence
    0.81
     Defense
    0.79
     Arabs
    0.78
     sett
    0.78
     embassies
    0.76
    Activations Density 0.029%

    No Known Activations