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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. 10-RES-JB
    11. 10231
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    Explanations

    numbers or numerical references

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Conditions
    -0.78
    Interstitial
    -0.78
    OPLE
    -0.72
    Els
    -0.72
    lich
    -0.70
    ModLoader
    -0.67
    Accessory
    -0.66
    emis
    -0.64
    raught
    -0.63
    agall
    -0.63
    POSITIVE LOGITS
    metry
    0.92
     tallied
    0.88
    enance
    0.87
     discrepancy
    0.85
    paces
    0.81
     fluct
    0.80
    ynthesis
    0.79
     underestimate
    0.79
     quoted
    0.78
     numbers
    0.77
    Activations Density 0.059%

    No Known Activations