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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. 11-RES-JB
    11. 6981
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    Explanations

    phrases related to technical issues or problems

    oai_token-act-pair · gpt-3.5-turbo

    references to ongoing situations or conditions

    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
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    Negative Logits
    asio
    -0.62
     hubs
    -0.54
    aples
    -0.52
     Rhodes
    -0.52
    axter
    -0.52
    rake
    -0.51
     Gibbs
    -0.51
     Brighton
    -0.51
     ripple
    -0.51
    undai
    -0.49
    POSITIVE LOGITS
    âĢ
    1.50
    .�
    1.36
     âĢ
    1.16
    .*
    1.16
    .ãĢį
    1.14
    .</
    1.11
    âĢł
    1.09
    .(
    1.04
    *.
    1.02
    .<
    0.96
    Activations Density 1.016%

    No Known Activations