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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. 10-RES-JB
    11. 4800
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    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
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    Negative Logits
     constitu
    -0.70
    âĹ¼
    -0.62
     redistributed
    -0.61
    --------------------------------
    -0.59
    Reloaded
    -0.58
     piracy
    -0.58
     Prol
    -0.58
     Presidency
    -0.56
     ACTIONS
    -0.56
     licensee
    -0.56
    POSITIVE LOGITS
    ested
    1.22
    itial
    1.14
    ression
    1.13
    ging
    1.11
     trenches
    1.11
    ress
    1.10
    gers
    1.05
    raph
    1.04
    ests
    1.02
    ger
    1.01
    Activations Density 0.033%

    No Known Activations