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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. 5484
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    Explanations

    mentions of detention centers or specific entities related to detaining individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to "Detainers" within the context of immigration or law enforcement

    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
    xual
    -0.85
    ammy
    -0.75
    ocene
    -0.75
    externalActionCode
    -0.73
    manship
    -0.71
    nown
    -0.70
    Reviewer
    -0.69
    drive
    -0.69
     slopes
    -0.68
    hetti
    -0.65
    POSITIVE LOGITS
    ector
    1.12
     Det
    1.05
    ention
    1.03
    ENTION
    0.98
    ainers
    0.96
    det
    0.93
    ailed
    0.90
    ainer
    0.89
     DET
    0.87
    achment
    0.87
    Activations Density 0.008%

    No Known Activations