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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. 0-RES-JB
    11. 2033
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    Explanations

    French words or phrases, typically abbreviated with "fr."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the fragment "fr" or its variations, indicating a focus on specific prefixes in words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Osw
    -0.69
     batted
    -0.67
     accrued
    -0.66
     Visual
    -0.64
     Superman
    -0.61
     Perform
    -0.60
     cues
    -0.60
     written
    -0.60
     assigned
    -0.60
     visuals
    -0.60
    POSITIVE LOGITS
    fr
    4.09
    Fr
    2.21
     fr
    1.71
    FR
    1.57
    Frag
    1.47
     Fr
    1.46
     FR
    1.34
    nl
    1.30
     Frag
    1.23
     Franks
    1.10
    Activations Density 0.013%

    No Known Activations