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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. 4-RES-JB
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    Explanations

    mentions or instances of the word "strong."

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "strong" in various contexts

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

    No Comments

    Negative Logits
     externalToEVAOnly
    -0.77
    Hop
    -0.73
     Correction
    -0.72
     Sloan
    -0.72
     Hilton
    -0.71
    arthed
    -0.71
     Incarnation
    -0.71
    ĸļ
    -0.70
    apolis
    -0.70
     Canaver
    -0.69
    POSITIVE LOGITS
     enough
    1.03
    enough
    0.96
    nesses
    0.95
    ener
    0.81
     winds
    0.80
     hitter
    0.79
    ament
    0.77
     handshake
    0.77
     strength
    0.76
     bonds
    0.76
    Activations Density 0.024%

    No Known Activations