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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. 11-RES-JB
    6. 8775
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    INDEX
    Explanations

    differentiating characteristics or qualities within a given context

    oai_token-act-pair · gpt-3.5-turbo

    references to varying categories and types

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isman
    -0.72
    arton
    -0.67
    ItemTracker
    -0.64
     earnest
    -0.58
     irony
    -0.58
    gotten
    -0.57
    ridor
    -0.57
     understatement
    -0.56
     excess
    -0.56
     patience
    -0.55
    POSITIVE LOGITS
     depending
    1.45
    paces
    1.14
     differing
    1.14
    Different
    1.07
     varying
    0.98
     Different
    0.96
     vying
    0.95
    styles
    0.95
    depending
    0.95
     different
    0.94
    Activations Density 0.247%

    No Known Activations