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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. 17533
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    INDEX
    Explanations

    words related to a specific topic or subject, such as "theme" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to a central theme or motif 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
    gress
    -0.71
    effective
    -0.70
    Instant
    -0.69
    carry
    -0.67
     sacks
    -0.67
    uala
    -0.65
     Vec
    -0.63
    bil
    -0.63
    ivably
    -0.62
    lessly
    -0.62
    POSITIVE LOGITS
     theme
    3.88
     themes
    2.84
     Theme
    2.77
    theme
    2.59
    Theme
    2.42
     motif
    1.76
     themed
    1.74
     backdrop
    1.36
    themed
    1.28
     topic
    1.23
    Activations Density 0.013%

    No Known Activations