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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. 3-RES-JB
    11. 23300
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    Explanations

    various forms of food items that are topped with other ingredients

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "topping" or "topped" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otive
    -0.74
    Ì
    -0.66
    д
    -0.66
    æ©Ł
    -0.63
     Gaul
    -0.63
     QR
    -0.63
    uctions
    -0.63
     Village
    -0.62
    avi
    -0.62
     Gael
    -0.62
    POSITIVE LOGITS
    mast
    0.95
     topping
    0.95
     topped
    0.84
     notch
    0.80
    pins
    0.77
    deck
    0.74
    ffield
    0.73
     billing
    0.71
    xual
    0.71
     tier
    0.71
    Activations Density 0.010%

    No Known Activations