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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. 10-RES-JB
    6. 6836
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    Explanations

    words related to government policies and regulations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to competition or performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    !.
    -0.79
    .:
    -0.77
    .).
    -0.73
    .......
    -0.67
    .....
    -0.66
    .<
    -0.66
    .
    -0.65
    '.
    -0.63
    %.
    -0.63
     Cipher
    -0.63
    POSITIVE LOGITS
     centrally
    0.74
     intrinsically
    0.69
     sufficiently
    0.67
     oneself
    0.66
     centralized
    0.64
     excess
    0.63
     external
    0.63
     unchecked
    0.62
     abundant
    0.62
     finite
    0.62
    Activations Density 0.934%

    No Known Activations