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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. 11-RES-JB
    6. 2923
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    INDEX
    Explanations

    comparisons of quantity between different scenarios

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate cause and effect relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anka
    -0.72
    osate
    -0.61
    laim
    -0.57
    usp
    -0.57
    alach
    -0.55
    Origin
    -0.55
    stros
    -0.54
    iasco
    -0.54
    bara
    -0.54
    ossus
    -0.54
    POSITIVE LOGITS
     fewer
    1.75
     less
    1.59
     clearer
    1.54
     nicer
    1.53
     quicker
    1.52
     sharper
    1.50
     richer
    1.49
     shorter
    1.47
     easier
    1.46
     smoother
    1.46
    Activations Density 0.895%

    No Known Activations