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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. 1022
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    Explanations

    words related to laws or regulations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'p' within the text

    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
     compe
    -0.85
     GOODMAN
    -0.79
    ãĤ´ãĥ³
    -0.73
    FTWARE
    -0.71
     Horizon
    -0.71
    æ©Ł
    -0.70
    NESS
    -0.69
     Exodus
    -0.66
     Resurrection
    -0.66
     Demo
    -0.65
    POSITIVE LOGITS
    atern
    1.25
    uffed
    1.24
    orters
    1.23
    ierce
    1.20
    ussy
    1.19
    orter
    1.18
    aired
    1.16
    okes
    1.16
    appy
    1.15
    ardon
    1.13
    Activations Density 0.037%

    No Known Activations