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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. 9-RES-JB
    11. 14267
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    Explanations

    terms related to military or strategic planning, specifically about forward operations and thinking

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "forward" in various contexts

    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
    chens
    -0.82
    colo
    -0.78
    Subject
    -0.75
    owship
    -0.74
    reon
    -0.73
    glers
    -0.71
    atum
    -0.70
    tle
    -0.70
    mingham
    -0.70
    berra
    -0.69
    POSITIVE LOGITS
    Ħ¢
    0.83
     thinker
    0.82
    thinking
    0.77
     thinkers
    0.74
    dating
    0.69
    ive
    0.68
     thinking
    0.67
    ivity
    0.66
     glances
    0.64
    wards
    0.64
    Activations Density 0.042%

    No Known Activations