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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. 12-RES-JB
    11. 4482
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    Explanations

    food items or ingredients

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to various types of sauces

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     spawning
    -0.64
     Shel
    -0.60
     incorporating
    -0.58
     houses
    -0.56
     appearing
    -0.55
     misinformation
    -0.55
     accurate
    -0.55
     Alert
    -0.54
     Aval
    -0.54
     sending
    -0.54
    POSITIVE LOGITS
    ucer
    1.50
    plings
    1.32
    pling
    1.29
    vant
    1.23
    una
    1.20
    xon
    1.17
    ppy
    1.16
    fty
    1.12
    udi
    1.11
    uve
    1.11
    Activations Density 0.011%

    No Known Activations