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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. 23240
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    Explanations

    periods

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks or sentence endings

    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
     millenn
    -0.75
     hunger
    -0.75
     gunmen
    -0.74
     boarded
    -0.74
     pione
    -0.72
     battered
    -0.72
     organis
    -0.72
     concussion
    -0.72
     satell
    -0.71
     plague
    -0.71
    POSITIVE LOGITS
     Which
    1.38
     And
    1.38
     Therefore
    1.31
     Hence
    1.30
     Thus
    1.27
     Specifically
    1.26
     Moreover
    1.25
     Otherwise
    1.25
     Because
    1.24
     Consequently
    1.23
    Activations Density 0.580%

    No Known Activations