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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. 21551
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of numbers and their significance in context

    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
    Not in Any Lists

    No Comments

    Negative Logits
     glim
    -1.03
     remem
    -0.87
     advoc
    -0.81
     sugg
    -0.77
     blasp
    -0.76
     nodd
    -0.75
     divid
    -0.75
     monop
    -0.73
     influ
    -0.73
     blur
    -0.72
    POSITIVE LOGITS
     Netherlands
    1.33
     Philippines
    1.28
     Pennsylvania
    1.22
     Taiwan
    1.22
     Poland
    1.21
     Arizona
    1.21
     Indonesia
    1.20
     Belgium
    1.20
     Chile
    1.18
     France
    1.17
    Activations Density 0.282%

    No Known Activations