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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. 4-RES-JB
    11. 24056
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    Explanations

    mentions of the abbreviation "ca"

    oai_token-act-pair · gpt-3.5-turbo

    words related to "caffeine" or references to caffeinated beverages

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

    No Comments

    Negative Logits
    geist
    -0.90
     GOODMAN
    -0.86
    bucks
    -0.82
    doms
    -0.81
    rition
    -0.80
    lings
    -0.78
    Ô
    -0.73
    hower
    -0.72
    ROR
    -0.71
    DragonMagazine
    -0.71
    POSITIVE LOGITS
    utes
    0.98
    ute
    0.91
    ffer
    0.90
    uter
    0.89
    ffe
    0.89
    ution
    0.89
    utions
    0.88
     ca
    0.87
    pping
    0.87
    ppy
    0.82
    Activations Density 0.004%

    No Known Activations