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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. 9-RES-JB
    11. 16678
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    Explanations

    statements expressing opinions or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izont
    -0.98
    ãĤ´ãĥ³
    -0.85
    aukee
    -0.81
    quer
    -0.71
    istor
    -0.69
    ovember
    -0.68
    apolis
    -0.67
    entary
    -0.67
    ocaly
    -0.66
    ãĥij
    -0.65
    POSITIVE LOGITS
     consequently
    1.05
     they
    0.94
     therefore
    0.93
     furthermore
    0.90
     moreover
    0.86
     there
    0.86
     includes
    0.80
     nobody
    0.80
    soever
    0.79
     it
    0.77
    Activations Density 0.133%

    No Known Activations