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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. 8-RES-JB
    11. 2162
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    Explanations

    references to elite or exclusive groups

    oai_token-act-pair · gpt-3.5-turbo

    references to elite groups or classes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asca
    -0.79
    atti
    -0.76
    asta
    -0.73
    aul
    -0.72
    ood
    -0.72
    acles
    -0.71
    rarily
    -0.71
    SourceFile
    -0.68
    etta
    -0.67
    bare
    -0.67
    POSITIVE LOGITS
     Institution
    0.76
     class
    0.76
     classes
    0.75
     elite
    0.75
     Dangerous
    0.74
     athletes
    0.71
     level
    0.70
     cad
    0.70
     athlete
    0.68
     acad
    0.67
    Activations Density 0.033%

    No Known Activations