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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. 3-RES-JB
    6. 964
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    INDEX
    Explanations

    specific mentions or discussions related to distribution, such as of resources, support, or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "distribution" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chest
    -0.79
    bers
    -0.74
    sonian
    -0.73
    ¯¯
    -0.73
    chers
    -0.73
    usc
    -0.71
    glers
    -0.70
    itude
    -0.70
    bre
    -0.67
    unts
    -0.67
    POSITIVE LOGITS
     distribution
    1.07
     distributions
    0.97
     Distribution
    0.92
     leaflets
    0.91
     distribute
    0.85
     redistribution
    0.85
     arrang
    0.85
    eering
    0.84
     propagation
    0.83
     distribut
    0.83
    Activations Density 0.012%

    No Known Activations