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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. 1-RES-JB
    11. 8962
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    Explanations

    mentions of legal professionals, specifically judges

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "judges."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Territories
    -0.74
    Bus
    -0.71
     Plane
    -0.68
     Arbor
    -0.68
     Campus
    -0.67
    thritis
    -0.66
     Railroad
    -0.65
     Operation
    -0.64
    vised
    -0.64
     Cooperative
    -0.63
    POSITIVE LOGITS
     judges
    1.06
    ĪĴ
    0.96
    ģĸ
    0.92
     Judges
    0.85
    ervatives
    0.85
    ometimes
    0.84
    jud
    0.84
    essee
    0.83
    heet
    0.83
     judge
    0.82
    Activations Density 0.005%

    No Known Activations