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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. 9-RES-JB
    11. 23001
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    INDEX
    Explanations

    descriptions or processes related to materials or manufacturing processes

    oai_token-act-pair · gpt-3.5-turbo

    references to materials and their origins in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.91
    mbudsman
    -0.79
     advis
    -0.75
    arers
    -0.71
    utenant
    -0.68
    bernatorial
    -0.68
    mbuds
    -0.67
    lest
    -0.67
    ounge
    -0.67
    ursions
    -0.67
    POSITIVE LOGITS
     principles
    1.11
     scraps
    0.96
     ingredients
    0.94
     recycled
    0.91
     materials
    0.87
     premise
    0.85
     atoms
    0.83
     sourced
    0.82
     technologies
    0.80
    ourced
    0.79
    Activations Density 0.539%

    No Known Activations