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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. 11923
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    INDEX
    Explanations

    phrases emphasizing strong emphasis or importance

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "very much."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    neapolis
    -0.85
    itures
    -0.74
    atures
    -0.73
    alid
    -0.72
    ibrary
    -0.71
    acious
    -0.70
     Correction
    -0.70
    etts
    -0.70
    iful
    -0.69
    eways
    -0.69
    POSITIVE LOGITS
     appreciated
    1.35
     alive
    0.96
     deserved
    0.92
     regarded
    0.88
     obliged
    0.85
     understood
    0.84
     welcomed
    0.83
     needed
    0.82
     welcome
    0.81
     enjoyed
    0.81
    Activations Density 0.027%

    No Known Activations