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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. 4-RES-JB
    11. 11301
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    Explanations

    numbers in specific sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and 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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afety
    -0.85
     Palest
    -0.80
    hement
    -0.75
    SPONSORED
    -0.72
    uberty
    -0.71
    trl
    -0.68
    PLIC
    -0.67
    advertisement
    -0.65
    Feed
    -0.65
    Sys
    -0.64
    POSITIVE LOGITS
     repet
    0.67
     taco
    0.65
     ticks
    0.63
     rim
    0.63
     sheep
    0.62
     quests
    0.61
    ams
    0.61
     balls
    0.61
     bowling
    0.60
     min
    0.60
    Activations Density 0.121%

    No Known Activations