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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 14031
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    Explanations

    references to different cities

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "City of" followed by various city names

    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
     pse
    -0.69
    pmwiki
    -0.69
    untled
    -0.69
    wcs
    -0.69
    :[
    -0.66
    aid
    -0.66
    Īè
    -0.65
     quizz
    -0.64
     numer
    -0.64
     subtract
    -0.64
    POSITIVE LOGITS
     Pittsburgh
    1.22
     Seattle
    1.18
     Atlanta
    1.18
     Chicago
    1.18
     Philadelphia
    1.17
     Spokane
    1.15
     Milwaukee
    1.15
     Indianapolis
    1.14
     Minneapolis
    1.14
     Winnipeg
    1.14
    Activations Density 0.046%

    No Known Activations