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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. 7-RES-JB
    11. 14597
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    INDEX
    Explanations

    common phrases or expressions used to introduce lists or topics

    oai_token-act-pair · gpt-3.5-turbo

    quantitative descriptors and references to various elements or topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ña
    -0.70
     Pwr
    -0.68
    installed
    -0.67
     cheered
    -0.64
     Loaded
    -0.63
    soever
    -0.63
    aurus
    -0.63
    mo
    -0.62
    hers
    -0.62
    UME
    -0.61
    POSITIVE LOGITS
     aspects
    1.21
     topics
    1.03
     facets
    1.01
     nuances
    1.00
     particulars
    0.98
     truths
    0.98
     shortcomings
    0.95
     facts
    0.92
     possibilities
    0.91
     hypothetical
    0.91
    Activations Density 0.468%

    No Known Activations