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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. 1-RES-JB
    11. 20471
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    Explanations

    the word "multi-" followed by a concept or descriptor

    oai_token-act-pair · gpt-3.5-turbo

    instances of the prefix "multi-" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Gleaming
    -0.71
     SPORTS
    -0.70
     Curve
    -0.70
     Ludwig
    -0.67
    IONS
    -0.66
     Wildcats
    -0.66
     Bauer
    -0.65
     Wonderland
    -0.65
     ashes
    -0.65
    姫
    -0.65
    POSITIVE LOGITS
    icult
    0.87
    cro
    0.86
     multi
    0.86
     multit
    0.86
     eyed
    0.85
    multi
    0.85
     multic
    0.83
     sided
    0.82
    absor
    0.81
    urally
    0.81
    Activations Density 0.006%

    No Known Activations