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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. 10-RES-JB
    11. 9239
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    INDEX
    Explanations

    terms related to objects and facilities like vehicles, weapons, and amenities

    oai_token-act-pair · gpt-3.5-turbo

    elements related to infrastructure and heavy equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nces
    -0.88
     Views
    -0.85
    urrencies
    -0.83
     Attacks
    -0.81
    ouls
    -0.80
     Characters
    -0.80
     embodiments
    -0.78
    sites
    -0.78
     timelines
    -0.76
     graphs
    -0.76
    POSITIVE LOGITS
     loader
    1.07
     charger
    0.89
     crane
    0.87
     generator
    0.86
     interpreter
    0.85
     tractor
    0.84
     translator
    0.84
     battalion
    0.83
     cutter
    0.83
     sergeant
    0.83
    Activations Density 0.487%

    No Known Activations