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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. 19791
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to statistical analysis and health metrics

    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
    ufact
    -0.75
     upgr
    -0.75
     redes
    -0.71
    ::::::::
    -0.71
     compan
    -0.69
    dri
    -0.69
     sights
    -0.68
    VIDEO
    -0.68
    hak
    -0.66
    ModLoader
    -0.65
    POSITIVE LOGITS
     coefficient
    1.29
     coefficients
    1.27
     correlations
    1.04
     statistical
    1.03
     predictor
    1.02
     estimate
    1.01
     analytic
    1.01
     correlation
    1.00
    itatively
    1.00
     estimating
    0.97
    Activations Density 0.226%

    No Known Activations