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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. 5-RES-JB
    6. 3104
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    INDEX
    Explanations

    scientific discoveries or breakthroughs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of discoveries and findings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    annis
    -0.80
    overe
    -0.72
    oiler
    -0.69
    osuke
    -0.68
     paced
    -0.67
    cemic
    -0.66
     bailed
    -0.66
    mph
    -0.66
    culated
    -0.65
    attery
    -0.65
    POSITIVE LOGITS
    Ô
    0.79
     Primordial
    0.78
    éļ
    0.75
     Flavoring
    0.73
    iveness
    0.73
    Discover
    0.72
     Wond
    0.72
    ______
    0.71
    natureconservancy
    0.71
    âĸĴ
    0.70
    Activations Density 0.020%

    No Known Activations