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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. 16637
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    Explanations

    complex phrases related to information, analysis, and logic

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to principles and responsibilities

    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
    -1.06
    ÂŃ
    -0.78
    é¾į
    -0.65
    earchers
    -0.63
     âĢ
    -0.63
    âĢ
    -0.61
    âĢij
    -0.60
     Mub
    -0.59
    ideshow
    -0.58
     Barron
    -0.57
    POSITIVE LOGITS
     ;)
    1.31
     etc
    1.28
    ?).
    1.25
     haha
    1.24
     anyways
    1.17
     :)
    1.14
    ...?
    1.13
     :-)
    1.12
     lol
    1.12
     :(
    1.12
    Activations Density 0.910%

    No Known Activations