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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 20636
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    Explanations

    references to computer science concepts related to object-oriented programming

    oai_token-act-pair · gpt-3.5-turbo

    references to "object" and object-oriented programming concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NPR
    -0.82
    fer
    -0.71
    ornia
    -0.70
    egal
    -0.70
    DAY
    -0.70
    coni
    -0.69
    ndra
    -0.69
    HER
    -0.68
    PER
    -0.67
    bred
    -0.67
    POSITIVE LOGITS
    ivity
    1.02
    ivism
    0.99
    ivist
    0.97
    ives
    0.95
    ively
    0.92
    imus
    0.89
     perman
    0.87
    ification
    0.85
     lesson
    0.84
    ive
    0.80
    Activations Density 0.054%

    No Known Activations