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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. 10-RES-JB
    6. 15
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    INDEX
    Explanations

    phrases describing a process or workflow

    oai_token-act-pair · gpt-3.5-turbo

    statements explaining processes or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uable
    -0.73
     prized
    -0.62
    worthiness
    -0.62
     contamin
    -0.62
     risked
    -0.61
    inventoryQuantity
    -0.60
     Newsp
    -0.60
     overcame
    -0.60
    reon
    -0.60
    worth
    -0.59
    POSITIVE LOGITS
     follows
    1.13
     straightforward
    1.10
     simple
    1.02
     summarized
    1.00
     similar
    0.95
    :[
    0.92
     identical
    0.88
     simplest
    0.87
     chronological
    0.87
     analogous
    0.85
    Activations Density 0.319%

    No Known Activations