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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. 1-RES-JB
    11. 7583
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    Explanations

    words related to things that are at the highest point or rank

    oai_token-act-pair · gpt-3.5-turbo

    references to "tops" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Revolutionary
    -0.68
     Apocalypse
    -0.67
     Kurd
    -0.67
     hunger
    -0.65
    inct
    -0.63
     immigrants
    -0.62
    REG
    -0.60
    Austral
    -0.59
     grandparents
    -0.59
     illness
    -0.59
    POSITIVE LOGITS
    mast
    1.00
     tops
    1.00
    mith
    0.97
    paces
    0.94
    heet
    0.89
    pins
    0.89
    metics
    0.87
    ometimes
    0.87
    daq
    0.83
     scorer
    0.81
    Activations Density 0.006%

    No Known Activations