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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. 23265
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    INDEX
    Explanations

    mentions of specific substances or medical conditions, particularly caffeine-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to caffeine and its effects

    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
    Ĥª
    -0.77
    flies
    -0.74
    ships
    -0.73
    ship
    -0.72
    chool
    -0.72
    soever
    -0.69
    \<
    -0.67
     Turtles
    -0.66
    irt
    -0.66
    OTA
    -0.64
    POSITIVE LOGITS
     Osw
    0.87
    inated
    0.81
    ishment
    0.78
    ting
    0.78
    rection
    0.76
    ining
    0.75
    ormal
    0.74
    ornings
    0.72
    zers
    0.72
    aser
    0.71
    Activations Density 0.053%

    No Known Activations