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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 5715
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    INDEX
    Explanations

    mentions of or references to students in a university or school setting

    oai_token-act-pair · gpt-3.5-turbo

    references to student organizations or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocobo
    -0.70
     Lomb
    -0.65
     cont
    -0.64
    othy
    -0.62
    onies
    -0.61
     crawl
    -0.60
     vain
    -0.60
     conquering
    -0.59
     compuls
    -0.59
     amplify
    -0.58
    POSITIVE LOGITS
     Student
    1.20
    Student
    1.17
     Students
    0.96
     Loan
    0.92
    holder
    0.85
     Suc
    0.83
    Students
    0.82
    Fac
    0.80
    inguished
    0.79
    student
    0.79
    Activations Density 0.010%

    No Known Activations