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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. 12177
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names from the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Macedonia
    -0.89
     Mex
    -0.82
     Morg
    -0.80
     Mellon
    -0.79
    Mex
    -0.78
     Mt
    -0.78
    Ross
    -0.78
     FML
    -0.77
     mech
    -0.77
     orcs
    -0.77
    POSITIVE LOGITS
    ou
    1.83
     Sou
    1.81
     Bou
    1.80
    OU
    1.61
     Gou
    1.60
     Nou
    1.51
     Kou
    1.50
     Fou
    1.48
     Hou
    1.42
    Lou
    1.30
    Activations Density 0.282%

    No Known Activations