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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. 20975
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to community engagement and support initiatives

    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
    £ı
    -0.79
    illac
    -0.70
    tesque
    -0.70
    anasia
    -0.68
    dict
    -0.68
    vertisement
    -0.68
    assad
    -0.66
    rake
    -0.64
    avage
    -0.63
    Downloadha
    -0.62
    POSITIVE LOGITS
     aspiring
    1.16
     readers
    1.16
     folks
    1.12
     educators
    1.09
     individuals
    1.09
     people
    1.08
     learners
    1.08
     entrepreneurs
    1.04
     attendees
    1.02
     budding
    1.02
    Activations Density 0.342%

    No Known Activations