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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. 2-RES-JB
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    Explanations

    references to being served or servings, potentially related to food or hospitality

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "serve" in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fragile
    -0.66
     Kubrick
    -0.65
     protective
    -0.65
     UNESCO
    -0.64
    wcs
    -0.63
     Playboy
    -0.62
     fertile
    -0.62
    plete
    -0.62
    orne
    -0.62
     territorial
    -0.62
    POSITIVE LOGITS
    Serv
    1.13
     Serv
    1.10
    serv
    1.07
     SERV
    1.05
    enger
    0.95
    ings
    0.90
    iced
    0.90
    maid
    0.86
    helm
    0.82
    士
    0.81
    Activations Density 0.009%

    No Known Activations