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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. 13200
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    Explanations

    mentions of sports teams or locations, particularly focusing on the term "New"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "New" related to geographic or organizational entities

    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
    APH
    -0.74
     volunt
    -0.74
     moder
    -0.64
    odox
    -0.64
    cius
    -0.63
    IRD
    -0.63
    inelli
    -0.62
    WARE
    -0.62
     actionGroup
    -0.62
    icent
    -0.62
    POSITIVE LOGITS
     Orleans
    1.38
     York
    1.37
     Zealand
    1.25
     England
    1.16
     Jersey
    1.13
     Yorker
    1.12
    York
    1.12
     Yorkers
    1.08
     Hampshire
    0.97
    bie
    0.97
    Activations Density 0.027%

    No Known Activations