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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. 5498
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    INDEX
    Explanations

    moments of significance or major events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant moments or events

    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
    •Importance

    No Comments

    Negative Logits
    ateurs
    -0.81
    onyms
    -0.71
     roofs
    -0.68
    lying
    -0.64
    ancies
    -0.63
    ateur
    -0.62
     tunnels
    -0.62
    itu
    -0.61
     houses
    -0.61
    inately
    -0.60
    POSITIVE LOGITS
     for
    0.78
     indeed
    0.75
     milestone
    0.73
     consequential
    0.72
     moment
    0.72
    iphany
    0.68
     occasion
    0.68
    ous
    0.66
     unfolding
    0.66
    FOR
    0.66
    Activations Density 0.265%

    No Known Activations