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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. 10-RES-JB
    11. 5915
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    Explanations

    words related to beverages or drinks

    oai_token-act-pair · gpt-3.5-turbo

    references to specific drinks or beverages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Schr
    -0.65
     OB
    -0.59
     trusted
    -0.58
     conservatism
    -0.57
     Rowling
    -0.56
     jurisdiction
    -0.56
     respons
    -0.55
    MENT
    -0.54
     denial
    -0.54
     metast
    -0.53
    POSITIVE LOGITS
    jee
    0.92
    iffe
    0.88
    idge
    0.88
    bee
    0.84
    oday
    0.84
    ansky
    0.80
    uner
    0.80
    ico
    0.79
    ucket
    0.79
    pillar
    0.78
    Activations Density 0.105%

    No Known Activations