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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. 3-RES-JB
    6. 14252
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    Explanations

    references to specific projects or franchises, particularly related to science fiction and fantasy

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Star Trek" and "Star Wars" franchises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etooth
    -0.84
     tremend
    -0.82
     trouble
    -0.78
    undai
    -0.73
    inarily
    -0.71
     defund
    -0.71
     counselor
    -0.70
    unciation
    -0.69
     reconc
    -0.67
    ierrez
    -0.67
    POSITIVE LOGITS
    ãĥīãĥ©ãĤ´ãĥ³
    0.83
    76561
    0.81
    CV
    0.79
    53
    0.77
    51
    0.76
    5000
    0.76
    57
    0.76
    3000
    0.75
     Origins
    0.74
    GO
    0.74
    Activations Density 0.145%

    No Known Activations