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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. 14703
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    Explanations

    phrases related to giving or providing

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to requests or demands

    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
     ÂŃ
    -0.67
     Emmanuel
    -0.51
     Bennett
    -0.51
    Western
    -0.48
     Walsh
    -0.48
     Emanuel
    -0.48
     Wil
    -0.48
     Miller
    -0.47
     Chamberlain
    -0.47
     Fleming
    -0.47
    POSITIVE LOGITS
     spoilers
    0.74
     pics
    0.73
     info
    0.67
     alot
    0.66
     certs
    0.64
     goodies
    0.62
     english
    0.62
     Reply
    0.59
     feedback
    0.57
    reply
    0.57
    Activations Density 0.620%

    No Known Activations