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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. 11-RES-JB
    11. 14676
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    phrases related to direct quotes or attributions

    oai_token-act-pair · gpt-3.5-turbo

    colons and their associated statements or quotes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    âĢIJ
    -0.69
    âĢ
    -0.67
    .–
    -0.63
    âĢij
    -0.61
     upstream
    -0.56
    )—
    -0.56
    âĪĴ
    -0.56
     Agric
    -0.55
     recomm
    -0.53
     enrichment
    -0.53
    POSITIVE LOGITS
     "'
    1.40
     "
    1.22
     "@
    1.19
     "...
    1.19
     "[
    1.16
     "(
    1.14
     ".
    1.13
     ""
    1.11
     "#
    1.08
     "âĢ¦
    1.04
    Activations Density 0.228%

    No Known Activations