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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. 3-RES-JB
    11. 15704
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    keywords related to the beginning of specific sections, such as "Below" followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating sections or categories in a structured document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifiable
    -0.75
    imm
    -0.71
     Roh
    -0.66
    ãĥı
    -0.65
     rag
    -0.60
    rolled
    -0.60
    sed
    -0.60
     swear
    -0.59
     virginity
    -0.57
    offensive
    -0.57
    POSITIVE LOGITS
     Thumbnails
    0.92
    neath
    0.85
    oday
    0.81
     Above
    0.81
    Tier
    0.76
    ileaks
    0.74
    Above
    0.73
    htaking
    0.71
     Below
    0.70
     veter
    0.69
    Activations Density 0.014%

    No Known Activations