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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. 6068
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    Explanations

    references to cups

    oai_token-act-pair · gpt-3.5-turbo

    references to "cup" in various contexts

    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
    eering
    -0.81
    SPONSORED
    -0.74
     gearing
    -0.72
     Khe
    -0.67
     Schwarz
    -0.63
     Giuliani
    -0.62
    abama
    -0.61
     antid
    -0.61
    terday
    -0.60
     Ake
    -0.60
    POSITIVE LOGITS
    cake
    1.84
    cakes
    1.84
    board
    1.13
    idity
    1.12
    boards
    0.97
    ule
    0.97
    shots
    0.90
    ids
    0.89
    cup
    0.87
    icle
    0.84
    Activations Density 0.031%

    No Known Activations