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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 21808
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    Explanations

    references to the rebalancing of a building's features

    oai_token-act-pair · gpt-3.5-turbo

    references to rebellion or uprisings

    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
    ebook
    -0.70
    roe
    -0.69
    rows
    -0.68
    alysed
    -0.67
    apon
    -0.67
    owl
    -0.66
    onet
    -0.66
    rouse
    -0.65
    raph
    -0.64
     cellul
    -0.63
    POSITIVE LOGITS
     Correspond
    0.75
    artisan
    0.74
     Supply
    0.74
    PLIED
    0.68
     Circuit
    0.67
     Extras
    0.65
    SourceFile
    0.64
     Equity
    0.64
     Virtue
    0.64
    mun
    0.64
    Activations Density 0.000%

    No Known Activations