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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. 8-RES-JB
    6. 21361
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    Explanations

    code snippets with specific syntax patterns

    oai_token-act-pair · gpt-3.5-turbo

    references to programming and code execution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Suppression Features Layer 8 GPT2 Small

    No Comments

    Negative Logits
    Twe
    -0.90
    RPG
    -0.89
    Party
    -0.86
    WP
    -0.86
    EVA
    -0.86
    â̦]
    -0.85
    BI
    -0.85
    cream
    -0.85
    Deal
    -0.85
    Tube
    -0.85
    POSITIVE LOGITS
    Ħ¢
    0.99
     stern
    0.75
     crest
    0.74
     actionGroup
    0.73
     substr
    0.71
     fn
    0.69
     skyline
    0.68
     slack
    0.68
     outset
    0.67
     nucleus
    0.67
    Activations Density 0.077%

    No Known Activations