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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. 3-RES-JB
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    Explanations

    references to warfare and conflicts

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "wars."

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    YL
    -0.78
    AUT
    -0.77
    STER
    -0.76
    SOURCE
    -0.70
    UTE
    -0.66
    OWER
    -0.65
    OGR
    -0.65
    Asset
    -0.64
    nosis
    -0.62
    Known
    -0.61
    POSITIVE LOGITS
    hips
    1.31
    hip
    1.15
     wars
    0.94
    poons
    0.91
    lords
    0.91
    mith
    0.88
     waged
    0.86
    uits
    0.85
    hops
    0.84
    bucks
    0.84
    Activations Density 0.019%

    No Known Activations