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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 17168
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    INDEX
    Explanations

    tech-related terms and keywords like company names and programming languages

    oai_token-act-pair · gpt-3.5-turbo

    references to technology companies and platforms

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    hement
    -1.18
     agre
    -0.90
     destro
    -0.88
    etheless
    -0.82
     awa
    -0.80
     streng
    -0.80
     footing
    -0.79
     tremend
    -0.78
     honoured
    -0.75
     oun
    -0.74
    POSITIVE LOGITS
    Minecraft
    0.90
    Joined
    0.87
    Nap
    0.86
    Associated
    0.82
    Dist
    0.82
    ================================================================
    0.82
    ................................
    0.81
    ³³³³³³³³³³³³³³³³
    0.79
    Posts
    0.79
    NES
    0.78
    Activations Density 0.464%

    No Known Activations