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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. 3-RES-JB
    11. 12065
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    Explanations

    references to the aircraft model "Su-9"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific aircraft model

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gutenberg
    -0.71
     directions
    -0.70
     Fiber
    -0.70
    tons
    -0.69
    ãĤ¡
    -0.67
     Metatron
    -0.67
    hyde
    -0.67
    otle
    -0.66
    wright
    -0.66
     juggling
    -0.65
    POSITIVE LOGITS
    arez
    1.18
    pper
    1.17
    icidal
    1.02
    zanne
    1.00
    pped
    0.99
    ples
    0.99
    icides
    0.98
    pling
    0.97
    itor
    0.97
    ilers
    0.93
    Activations Density 0.007%

    No Known Activations