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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. 12230
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    INDEX
    Explanations

    descriptions or actions that occur at first sight

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate initial observations or reflections

    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
    Not in Any Lists

    No Comments

    Negative Logits
    rolet
    -0.69
    ashington
    -0.65
     Journals
    -0.59
    ux
    -0.57
    efe
    -0.57
     Retrieved
    -0.56
    Stat
    -0.56
    sung
    -0.55
     Rolls
    -0.55
    inals
    -0.55
    POSITIVE LOGITS
     glance
    1.81
     blush
    1.69
     sight
    1.14
     responders
    0.84
     Sight
    0.83
     glimpse
    0.83
     glances
    0.78
     hesitant
    0.78
    look
    0.76
    ebin
    0.75
    Activations Density 0.034%

    No Known Activations