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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    mentions of teachers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of teachers and their situations in educational 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
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    No Comments

    Negative Logits
    rils
    -0.75
    ril
    -0.73
    tera
    -0.71
     sclerosis
    -0.62
    00200000
    -0.61
    croft
    -0.61
    plet
    -0.59
     Ports
    -0.59
    axy
    -0.59
    atos
    -0.58
    POSITIVE LOGITS
     Teachers
    0.92
    girls
    0.91
    heet
    0.85
     teacher
    0.81
     Teacher
    0.80
     teachers
    0.79
    children
    0.78
    achers
    0.76
    student
    0.75
    chool
    0.74
    Activations Density 0.024%

    No Known Activations