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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. 23458
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    INDEX
    Explanations

    references to exclusive or high-status groups or individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to elite groups or individuals

    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
    ood
    -0.76
    rarily
    -0.75
    acles
    -0.75
    asca
    -0.74
    asta
    -0.71
    bare
    -0.71
    DAY
    -0.70
    alez
    -0.70
    ilk
    -0.69
    aul
    -0.69
    POSITIVE LOGITS
     Dangerous
    0.81
     Institution
    0.77
     elite
    0.73
     classes
    0.72
     class
    0.71
     level
    0.71
     athlete
    0.70
     tier
    0.68
     athletes
    0.68
    holm
    0.68
    Activations Density 0.042%

    No Known Activations