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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. 22043
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    Explanations

    words related to constant activity or production

    oai_token-act-pair · gpt-3.5-turbo

    terms related to production and output, particularly in contexts of excessive or ongoing generation

    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
    cussion
    -0.78
    alg
    -0.72
    versely
    -0.62
     Mint
    -0.62
    abol
    -0.62
    uana
    -0.62
     Federation
    -0.61
     Commander
    -0.60
     Fern
    -0.60
    nee
    -0.60
    POSITIVE LOGITS
     churn
    1.46
    edIn
    0.87
    iflower
    0.83
    ularity
    0.79
    ffield
    0.75
    ular
    0.75
    ing
    0.74
     undone
    0.74
    esy
    0.74
    ONSORED
    0.73
    Activations Density 0.008%

    No Known Activations