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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions of the term "Navy"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Navy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gon
    -0.71
     partName
    -0.71
    metadata
    -0.70
    Offline
    -0.66
     Bram
    -0.66
    ÃŁ
    -0.66
    hel
    -0.65
    kaya
    -0.63
    los
    -0.63
    eva
    -0.62
    POSITIVE LOGITS
     Navy
    3.31
     navy
    2.80
     naval
    2.36
    avy
    2.03
     sailor
    1.78
     sailors
    1.76
     maritime
    1.67
     Army
    1.67
     Marines
    1.63
     warships
    1.60
    Activations Density 0.012%

    No Known Activations