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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. 20042
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    INDEX
    Explanations

    mentions of specific events or entities indicated by the term "SA" followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    references to specific licensing and attribution terms related to creative works

    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
    tons
    -0.85
    naire
    -0.81
    lace
    -0.79
    naires
    -0.77
    hower
    -0.77
    ships
    -0.76
    ysis
    -0.74
    starter
    -0.69
    sticks
    -0.68
     MacArthur
    -0.68
    POSITIVE LOGITS
    VE
    1.36
    ULT
    1.07
    ven
    1.04
    FE
    1.02
    ccess
    0.97
    pling
    0.96
    BILITY
    0.95
    BILITIES
    0.95
    plings
    0.94
    IDS
    0.93
    Activations Density 0.021%

    No Known Activations