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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 13763
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    Explanations

    references to the term "bot" alongside varying numeric activations, potentially related to technology or online activities

    oai_token-act-pair · gpt-3.5-turbo

    references to "bots" and their various functionalities or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.69
     Trib
    -0.66
    dress
    -0.62
     Piercing
    -0.61
     Institution
    -0.61
    ITED
    -0.59
    mund
    -0.58
     conformity
    -0.57
    ׾
    -0.57
    edly
    -0.57
    POSITIVE LOGITS
    anical
    1.59
    anic
    1.21
    any
    1.11
    cham
    1.08
    ania
    1.07
    wana
    1.03
    herer
    1.02
    chers
    1.02
    cher
    0.99
    nets
    0.98
    Activations Density 0.042%

    No Known Activations