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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. 4-RES-JB
    11. 10922
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IGHTS
    -0.69
     Giuliani
    -0.66
     gearing
    -0.64
     Voc
    -0.63
    OUND
    -0.62
    sbm
    -0.62
    eering
    -0.61
     vetting
    -0.60
    ccording
    -0.60
    doms
    -0.59
    POSITIVE LOGITS
    cakes
    1.70
    cake
    1.65
    cup
    1.34
     cup
    0.99
     cups
    0.96
    board
    0.94
    boards
    0.87
    batch
    0.82
    ener
    0.81
    maid
    0.81
    Activations Density 0.011%

    No Known Activations