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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. 7-RES-JB
    6. 8322
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    INDEX
    Explanations

    words related to intentions or purposes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe intended purposes or functions of various actions or items

    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
     Solitaire
    -0.81
    yards
    -0.79
    tex
    -0.68
    las
    -0.63
    buck
    -0.62
    buster
    -0.62
    acks
    -0.61
    oner
    -0.61
    ranked
    -0.61
    browser
    -0.60
    POSITIVE LOGITS
     Parenthood
    0.93
     intended
    0.78
    fully
    0.76
     beneficiaries
    0.74
    atile
    0.72
     recipients
    0.70
    ivil
    0.70
     guiActiveUn
    0.68
     beneficiary
    0.66
    lessly
    0.66
    Activations Density 0.033%

    No Known Activations