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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. 12607
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    Explanations

    phrases indicating a small amount or degree of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating degree or extent, particularly emphasizing the word "bit."

    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
    ards
    -0.84
    ETS
    -0.84
    rats
    -0.83
    ħĭ
    -0.83
    ORTS
    -0.80
    oons
    -0.80
    rates
    -0.75
    rat
    -0.75
    pects
    -0.75
    atars
    -0.74
    POSITIVE LOGITS
     luck
    0.95
     fun
    0.83
     extra
    0.80
     elbow
    0.77
     downtime
    0.75
     crossover
    0.74
     banter
    0.73
    angu
    0.73
     flair
    0.73
     hesitation
    0.72
    Activations Density 0.038%

    No Known Activations