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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. 0-RES-JB
    6. 74
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    INDEX
    Explanations

    phrases related to investigating, exploring, or delving into various subjects or situations

    oai_token-act-pair · gpt-3.5-turbo

    themes of digging and lifting in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aughtered
    -0.76
    exist
    -0.68
    aceae
    -0.67
    iste
    -0.66
    vez
    -0.65
     Changed
    -0.63
    izons
    -0.63
    ursed
    -0.62
    =-=-=-=-=-=-=-=-
    -0.62
    iren
    -0.61
    POSITIVE LOGITS
     tearing
    2.05
     splitting
    1.95
     digging
    1.92
     swapping
    1.91
     ripping
    1.89
     tapping
    1.87
     squeezing
    1.86
     stripping
    1.85
     shedding
    1.85
     lifting
    1.84
    Activations Density 0.115%

    No Known Activations