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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. 12-RES-JB
    11. 4840
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    INDEX
    Explanations

    numbers related to statistics or financial figures

    oai_token-act-pair · gpt-3.5-turbo
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    quantitative comparisons and statistics related to various subjects

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    arta
    -0.76
    gow
    -0.75
    olitics
    -0.74
    icter
    -0.70
    fml
    -0.66
    olitical
    -0.65
    aptic
    -0.63
    oslav
    -0.63
    obin
    -0.63
    obyl
    -0.63
    POSITIVE LOGITS
     destroying
    1.29
     delivering
    1.29
     supplying
    1.27
     providing
    1.26
     completing
    1.26
     stealing
    1.26
     distributing
    1.25
     committing
    1.25
     acquiring
    1.25
     sending
    1.25
    Activations Density 0.512%

    No Known Activations