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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. 8-RES-JB
    11. 24220
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    Explanations

    statements focusing on the main theme or essence of a topic

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss significant themes or central topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kai
    -0.79
    İĭ
    -0.77
    nea
    -0.71
    ois
    -0.70
    DragonMagazine
    -0.70
    SON
    -0.68
    OGR
    -0.68
    åĽ
    -0.67
    SPONSORED
    -0.67
    falls
    -0.67
    POSITIVE LOGITS
     educating
    1.04
     preserving
    1.02
     maximizing
    0.94
     protecting
    0.93
     creating
    0.87
     improving
    0.84
     overcoming
    0.84
     getting
    0.83
     replacing
    0.83
     restoring
    0.82
    Activations Density 0.056%

    No Known Activations