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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. 20727
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    Explanations

    phrases related to human-induced activities or impacts

    oai_token-act-pair · gpt-3.5-turbo

    references to human-related factors affecting climate change and associated impacts

    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
    olid
    -0.68
    udeb
    -0.64
     Readers
    -0.64
    icion
    -0.64
    ricular
    -0.64
    é¾įå¥ij士
    -0.63
     Airl
    -0.63
    rolled
    -0.63
    undown
    -0.63
    risome
    -0.61
    POSITIVE LOGITS
     apes
    0.72
    aviour
    0.71
    atures
    0.71
     extinct
    0.70
     beings
    0.70
    centered
    0.69
     primates
    0.69
    ãĤ¨ãĥ«
    0.68
    animal
    0.67
     +++
    0.67
    Activations Density 0.132%

    No Known Activations