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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 16502
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    INDEX
    Explanations

    mentions of publications or research findings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "M" in varying contexts

    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
     Nep
    -0.63
    rend
    -0.62
     tipped
    -0.60
    say
    -0.60
    gets
    -0.60
     soup
    -0.59
    gie
    -0.57
     heav
    -0.56
     tint
    -0.56
     Hath
    -0.56
    POSITIVE LOGITS
    useum
    1.20
    achine
    1.08
    ueller
    1.05
    obile
    1.03
    umbai
    1.02
    ISSION
    1.01
    ortal
    1.01
    ORPG
    1.01
    ilitary
    0.99
    ansion
    0.98
    Activations Density 0.073%

    No Known Activations