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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. 5-RES-JB
    6. 17146
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    Explanations

    keywords related to actions or creations, such as bombs, reports, songs, videos, ports, pieces, compositions, tricks, tracks, mistakes, tunes, passes, cards, blows, recipes, promises, films

    oai_token-act-pair · gpt-3.5-turbo

    terms related to creative works and their production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cer
    -0.71
    asus
    -0.62
    026
    -0.60
    \\\\\\\\\\\\\\\\
    -0.60
    ALLY
    -0.60
     Stern
    -0.59
    RY
    -0.59
    tein
    -0.58
     Kov
    -0.57
     Vehicle
    -0.57
    POSITIVE LOGITS
    cape
    1.23
    heet
    1.20
    mith
    1.15
    paces
    1.12
    poons
    1.02
    pring
    1.00
    pace
    1.00
    creen
    0.99
    hip
    0.98
    chool
    0.98
    Activations Density 0.363%

    No Known Activations