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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. 14180
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    Explanations

    phrases related to chemical reactions and informational reports

    oai_token-act-pair · gpt-3.5-turbo

    keywords associated with environmental and ecological awareness

    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
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    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.63
     rall
    -0.60
     EDITION
    -0.60
    ebin
    -0.59
    ailability
    -0.57
     stride
    -0.55
    share
    -0.54
     magnets
    -0.54
     Appalach
    -0.53
     blush
    -0.52
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢ
    1.01
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.62
    à¨
    0.57
    rawdownloadcloneembedreportprint
    0.54
    à¤
    0.54
    istan
    0.53
    spe
    0.53
    estro
    0.52
    %%%%
    0.52
    iston
    0.52
    Activations Density 0.131%

    No Known Activations