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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. 11-RES-JB
    6. 3455
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    INDEX
    Explanations

    situations where work is mentioned or implied

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and words that indicate relationships between ideas or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imum
    -0.74
     Worm
    -0.72
    utt
    -0.70
    worms
    -0.69
     worms
    -0.68
     Redux
    -0.64
    arily
    -0.63
     tsun
    -0.62
    alis
    -0.61
     tsunami
    -0.61
    POSITIVE LOGITS
     pensions
    1.13
     leisure
    1.01
    student
    0.98
    actionDate
    0.94
     academia
    0.91
     residences
    0.90
     exams
    0.89
     hobbies
    0.89
    Student
    0.87
     student
    0.85
    Activations Density 0.177%

    No Known Activations