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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. 7-RES-JB
    11. 23797
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    Explanations

    terms related to physical conditions, especially those involving performance or barriers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to impotence and barriers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    çīĪ
    -0.73
     Saras
    -0.71
     ribbon
    -0.68
    BUG
    -0.65
    SOURCE
    -0.62
    byn
    -0.62
    ãĤ´ãĥ³
    -0.60
     Today
    -0.60
    baum
    -0.60
     Puzzles
    -0.60
    POSITIVE LOGITS
    inence
    0.81
    etr
    0.73
    itely
    0.72
     perjury
    0.70
    eties
    0.70
    urity
    0.68
    ados
    0.68
    achment
    0.67
    hesive
    0.67
    enza
    0.65
    Activations Density 0.064%

    No Known Activations