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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. 22900
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    Explanations

    information about naval vessels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of naval and military vessels or classes

    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
    geist
    -0.92
    izophren
    -0.89
    hemy
    -0.84
    reddits
    -0.79
    genre
    -0.78
    brow
    -0.76
    idav
    -0.75
    fusc
    -0.73
    xual
    -0.73
     subconscious
    -0.72
    POSITIVE LOGITS
     submarines
    1.49
     aircraft
    1.44
     tanker
    1.36
     ships
    1.35
     submarine
    1.32
     warships
    1.31
     helicopters
    1.31
     Aircraft
    1.31
     fleet
    1.29
     naval
    1.29
    Activations Density 1.137%

    No Known Activations