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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. 8-RES-JB
    11. 10296
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    INDEX
    Explanations

    fractions and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical representations of measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •contextual features
    fraction notation of form "X Y/Z"

    No Comments

    Negative Logits
    hement
    -0.78
    Feed
    -0.69
    Gene
    -0.67
     Leilan
    -0.63
     Strait
    -0.63
    \<
    -0.62
     fort
    -0.62
    ende
    -0.59
    enne
    -0.57
     ful
    -0.57
    POSITIVE LOGITS
    Ħ¢
    0.71
     )]
    0.71
     DOI
    0.71
    mins
    0.69
    etimes
    0.68
     CONTIN
    0.68
    \\\\\\\\
    0.66
     requests
    0.66
    rencies
    0.65
    ities
    0.64
    Activations Density 0.109%

    No Known Activations