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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. 2538
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    Explanations

    phrases related to using tools or performing actions

    oai_token-act-pair · gpt-3.5-turbo
    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
     Career
    -0.91
    Politics
    -0.88
     Events
    -0.85
     Carib
    -0.78
    isSpecialOrderable
    -0.78
     Communities
    -0.77
    ylum
    -0.76
    Sov
    -0.74
     Ukrain
    -0.74
     Equity
    -0.74
    POSITIVE LOGITS
     gently
    1.33
     shove
    1.30
     submer
    1.27
     slit
    1.22
     scrape
    1.21
     chop
    1.20
     peel
    1.20
     spray
    1.20
     remove
    1.19
     sprinkle
    1.18
    Activations Density 0.419%

    No Known Activations