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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. 6275
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    Explanations

    references to browsing activities, such as searching, navigating, or looking through content online

    oai_token-act-pair · gpt-3.5-turbo

    references to web browsing activities

    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
     Lauder
    -0.79
    orc
    -0.70
    rum
    -0.69
    ament
    -0.68
    oil
    -0.68
    effic
    -0.68
    orian
    -0.64
    ahl
    -0.63
    von
    -0.63
     Scand
    -0.62
    POSITIVE LOGITS
     browsing
    1.15
     browse
    0.96
     Browse
    0.88
    oad
    0.87
    efully
    0.80
     surfing
    0.77
     sessions
    0.75
    halla
    0.73
    spection
    0.72
    itors
    0.72
    Activations Density 0.021%

    No Known Activations