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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. 4891
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    Explanations

    phrases related to economic and financial contexts

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to economic and social issues

    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
     Norwich
    -0.78
     nodd
    -0.74
     Wally
    -0.72
     Sussex
    -0.72
     Dover
    -0.72
     Hond
    -0.72
     Norfolk
    -0.71
     Neptune
    -0.71
     Gad
    -0.70
     bananas
    -0.69
    POSITIVE LOGITS
    âĢ
    1.97
    ãĢ
    1.36
     âĢ
    1.29
    ¨
    1.22
    âĢł
    1.19
    âĢİ
    1.19
    .","
    1.16
    .�
    1.11
    â
    1.10
    «
    1.09
    Activations Density 0.522%

    No Known Activations