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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. 1-RES-JB
    11. 21872
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    Explanations

    exam-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of exams

    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
    bread
    -0.69
    deals
    -0.64
    population
    -0.62
    stuff
    -0.62
    nature
    -0.61
    ²¾
    -0.61
    memory
    -0.60
     bip
    -0.60
     Idle
    -0.60
     isolated
    -0.60
    POSITIVE LOGITS
     exam
    1.31
     Exam
    1.23
     exams
    1.22
    iners
    1.19
     Examination
    1.00
     examinations
    0.97
    uates
    0.92
     examiner
    0.90
    rador
    0.84
    imony
    0.82
    Activations Density 0.004%

    No Known Activations