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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 13882
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    INDEX
    Explanations

    descriptive words related to quality and performance

    oai_token-act-pair · gpt-3.5-turbo

    characteristics related to product quality and performance

    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
    ovember
    -0.77
    ãĥ¼ãĥ³
    -0.68
    fell
    -0.66
     Psychiat
    -0.65
    gey
    -0.64
    Strange
    -0.64
    aughters
    -0.64
    adan
    -0.63
    wives
    -0.62
    ella
    -0.60
    POSITIVE LOGITS
     simplicity
    1.59
     reliability
    1.57
     affordability
    1.49
     flexibility
    1.47
     versatility
    1.47
     responsiveness
    1.44
     ease
    1.44
     durability
    1.43
     usability
    1.29
     efficiency
    1.27
    Activations Density 0.469%

    No Known Activations