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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. 7-RES-JB
    6. 15816
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    INDEX
    Explanations

    different types or categories of objects or concepts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of diversity and different categories or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arton
    -0.64
    mobi
    -0.61
    jew
    -0.61
    efficiency
    -0.61
    Brave
    -0.58
    iron
    -0.56
    coal
    -0.56
    ayn
    -0.56
     Adamant
    -0.56
    requisite
    -0.55
    POSITIVE LOGITS
     differing
    1.00
     depending
    0.99
     different
    0.96
     imaginable
    0.94
    paces
    0.93
     configurations
    0.91
     sexes
    0.85
     vying
    0.84
     varying
    0.84
     styles
    0.83
    Activations Density 0.249%

    No Known Activations