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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. 1-RES-JB
    11. 9071
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    Explanations

    phrases related to conservation efforts and organizations

    oai_token-act-pair · gpt-3.5-turbo

    content related to conservation and environmental efforts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CHA
    -0.75
    linux
    -0.69
    SE
    -0.68
    upon
    -0.65
    redd
    -0.65
    aser
    -0.63
    MAC
    -0.61
    eon
    -0.61
    mid
    -0.60
    RESULTS
    -0.60
    POSITIVE LOGITS
     conservation
    1.29
     Conservation
    1.16
    conservancy
    0.88
     eas
    0.87
     biologist
    0.85
     ecology
    0.83
    ists
    0.82
     conserv
    0.81
     proble
    0.81
     biologists
    0.79
    Activations Density 0.013%

    No Known Activations