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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. 3-RES-JB
    11. 2812
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    Explanations

    keywords related to a specific university

    oai_token-act-pair · gpt-3.5-turbo

    mentions of universities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    othy
    -0.80
    ppings
    -0.78
    trap
    -0.70
    Jere
    -0.69
    Pg
    -0.68
    adow
    -0.68
    ãģĹ
    -0.68
    ï¸ı
    -0.68
    igree
    -0.67
    owder
    -0.66
    POSITIVE LOGITS
     campuses
    1.08
     tuition
    1.06
     lecturer
    1.02
    uates
    1.00
     campus
    0.94
     graduation
    0.89
     fraternity
    0.88
     Students
    0.85
     students
    0.85
     professors
    0.85
    Activations Density 0.028%

    No Known Activations