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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. 22074
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    INDEX
    Explanations

    references to specific years or dates

    oai_token-act-pair · gpt-3.5-turbo

    specific years and associated numerical statistics related to sports

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Poles
    -0.59
     Mace
    -0.59
     CCP
    -0.58
     responsive
    -0.57
     Shard
    -0.56
     arsenic
    -0.56
     shutter
    -0.55
    ciating
    -0.54
    address
    -0.54
     Ministers
    -0.54
    POSITIVE LOGITS
    -'
    1.26
     playoffs
    1.19
     Rookie
    1.04
     Playoffs
    1.01
     postseason
    0.98
     season
    0.98
     preseason
    0.95
     playoff
    0.93
     offseason
    0.91
     rookie
    0.88
    Activations Density 0.104%

    No Known Activations