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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. 11-RES-JB
    11. 11384
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    Explanations

    text related to different levels or ranks

    oai_token-act-pair · gpt-3.5-turbo

    references to membership levels or tiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Georg
    -0.79
    pict
    -0.73
     punt
    -0.71
     Horton
    -0.70
    flash
    -0.68
     Georg
    -0.67
     Pax
    -0.66
     Natalie
    -0.66
     Tobias
    -0.65
    ãĤ§
    -0.65
    POSITIVE LOGITS
     level
    2.08
     Level
    2.04
    Level
    1.94
    levels
    1.91
    level
    1.91
     Levels
    1.91
     LEVEL
    1.82
     levels
    1.82
     tier
    1.74
     tiers
    1.70
    Activations Density 0.254%

    No Known Activations