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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. 4230
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    INDEX
    Explanations

    words related to pursuing goals or interests

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "pursue" and its variations

    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
    electric
    -0.69
    ombo
    -0.68
    lua
    -0.65
    board
    -0.63
    ailand
    -0.62
    oxy
    -0.62
    finger
    -0.62
    cious
    -0.61
     arsen
    -0.61
    immer
    -0.61
    POSITIVE LOGITS
     pursued
    0.95
     pursue
    0.93
    ments
    0.90
    TAIN
    0.84
    iveness
    0.84
     pursuing
    0.83
    iage
    0.83
     avenues
    0.80
    ively
    0.76
    anced
    0.75
    Activations Density 0.021%

    No Known Activations