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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. 3-RES-JB
    11. 22828
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    INDEX
    Explanations

    statistical terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to statistical analysis and significance in research studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     redes
    -0.80
     upgr
    -0.80
    ufact
    -0.77
     throats
    -0.76
    dri
    -0.75
     sights
    -0.66
     compan
    -0.66
    ê
    -0.66
     Talks
    -0.64
     carts
    -0.63
    POSITIVE LOGITS
     coefficient
    1.13
     coefficients
    1.05
     statistical
    1.04
    ivariate
    1.02
     correlation
    1.02
     estimate
    1.01
     estimating
    0.99
     correlations
    0.98
     probabilities
    0.98
     computed
    0.97
    Activations Density 0.338%

    No Known Activations