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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. 9-RES-JB
    11. 5256
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    Explanations

    phrases related to events happening while someone is in a specific location or performing a specific action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "while" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eus
    -0.83
    iola
    -0.80
    iotic
    -0.80
    oux
    -0.77
    elled
    -0.73
    omorphic
    -0.73
    ettle
    -0.72
    ilial
    -0.72
    illet
    -0.72
    hack
    -0.71
    POSITIVE LOGITS
     awaiting
    1.22
     researching
    1.13
     touring
    1.11
     traveling
    1.10
     campaigning
    1.05
     retaining
    1.05
     maintaining
    1.04
     waiting
    1.01
     browsing
    1.00
     undergoing
    0.99
    Activations Density 0.065%

    No Known Activations