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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. 21677
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    Explanations

    pronouns 'they' and 'they're'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "they"

    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
    Not in Any Lists

    No Comments

    Negative Logits
    mits
    -0.61
     Brother
    -0.61
    Recomm
    -0.60
    WARD
    -0.60
     Daniels
    -0.59
     Osw
    -0.59
     Mile
    -0.57
     è£ıè¦ļéĨĴ
    -0.57
     Kil
    -0.57
     polygamy
    -0.57
    POSITIVE LOGITS
    're
    1.94
    've
    1.35
     are
    1.31
     aren
    1.26
     ARE
    1.19
    'll
    1.15
     contain
    1.15
     signify
    1.13
     represent
    1.12
     belong
    1.12
    Activations Density 0.182%

    No Known Activations