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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. 7-RES-JB
    11. 14083
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    INDEX
    Explanations

    instances where different variables or concepts are presented in a specific structural format

    oai_token-act-pair · gpt-3.5-turbo

    references to various formats or types of things

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    avorite
    -0.74
     Hots
    -0.69
    äºĶ
    -0.69
    incial
    -0.67
     Duty
    -0.64
     Dish
    -0.63
     VIDEOS
    -0.62
     sear
    -0.62
     Watching
    -0.61
    Streamer
    -0.61
    POSITIVE LOGITS
    aldehyde
    1.33
    ative
    1.03
    ulating
    0.99
    idable
    0.94
    fitting
    0.91
    ulator
    0.85
    ula
    0.81
    ulates
    0.81
    ulated
    0.80
    ulation
    0.79
    Activations Density 0.015%

    No Known Activations