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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. 23621
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    Explanations

    terms related to workplace environments and systems, such as design, availability, safety, and equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental issues and climate change

    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
     Boone
    -0.68
     Garfield
    -0.65
     Elijah
    -0.62
     Valentine
    -0.61
     blond
    -0.61
    themed
    -0.60
     Berks
    -0.59
     tatt
    -0.59
     Poe
    -0.59
     corrid
    -0.58
    POSITIVE LOGITS
    ''.
    1.26
    .''.
    1.23
    )).
    1.15
    `.
    1.13
    .''
    1.12
    .</
    1.07
    '.
    1.07
    .","
    1.05
    ".
    1.01
    .'
    0.99
    Activations Density 0.938%

    No Known Activations