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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. 1433
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    Explanations

    the word "teacher"

    oai_token-act-pair · gpt-3.5-turbo

    references to teachers and teaching

    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
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    No Comments

    Negative Logits
     Throne
    -0.70
     launchers
    -0.69
    rils
    -0.68
    tera
    -0.68
    hawks
    -0.66
     Launcher
    -0.66
    اÙĦ
    -0.65
     Raptors
    -0.65
    CLUD
    -0.64
    00200000
    -0.64
    POSITIVE LOGITS
     unions
    0.97
    girls
    0.94
     teacher
    0.85
     Teachers
    0.84
    student
    0.84
    girl
    0.80
     teachers
    0.78
     Teacher
    0.76
     teaching
    0.76
    work
    0.75
    Activations Density 0.041%

    No Known Activations