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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. 3-RES-JB
    6. 2504
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    INDEX
    Explanations

    positive qualities or high levels of significance in text

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of quality and speed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Maze
    -0.69
    odder
    -0.59
    adelphia
    -0.58
     Nile
    -0.58
     Ariel
    -0.58
     Ki
    -0.58
     Insight
    -0.57
     Nath
    -0.57
     Jude
    -0.57
    EE
    -0.56
    POSITIVE LOGITS
    ractive
    0.79
     (>
    0.76
    tarian
    0.69
    nered
    0.66
    xual
    0.63
     sexism
    0.62
    auld
    0.62
    uilt
    0.62
     compliments
    0.60
    ifiable
    0.60
    Activations Density 0.321%

    No Known Activations