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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. 6-RES-JB
    6. 10170
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    INDEX
    Explanations

    references to specific abbreviations in medical contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of references to ratings or evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anova
    -0.75
    amins
    -0.73
    oola
    -0.66
     srfAttach
    -0.65
    atu
    -0.65
    achu
    -0.64
    »Ĵ
    -0.64
    ashtra
    -0.63
    TextColor
    -0.62
    rawdownloadcloneembedreportprint
    -0.62
    POSITIVE LOGITS
     coli
    1.04
    911
    0.69
     Moss
    0.69
     Romero
    0.67
    existent
    0.66
     fashioned
    0.66
    tainment
    0.63
     Manning
    0.62
    geist
    0.62
     Proxy
    0.62
    Activations Density 0.039%

    No Known Activations