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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. 21405
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    Explanations

    instances of the word "shop" followed by another word

    oai_token-act-pair · gpt-3.5-turbo

    references to retail locations or shops

    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
    ioxide
    -0.72
     Kissinger
    -0.64
     Couch
    -0.61
    etus
    -0.60
     prisoner
    -0.59
     IPCC
    -0.59
     toxicity
    -0.59
     precipitation
    -0.58
    ETF
    -0.58
     mating
    -0.57
    POSITIVE LOGITS
    keepers
    1.45
    keeper
    1.43
    lifting
    1.35
    worn
    1.13
    shop
    1.12
    front
    1.06
    lift
    1.05
    floor
    1.03
    keep
    1.01
    stores
    1.00
    Activations Density 0.045%

    No Known Activations