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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. 15200
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    Explanations

    instances where individuals or groups possess knowledge or expertise

    oai_token-act-pair · gpt-3.5-turbo

    references to knowledge and understanding

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    otion
    -0.89
    ItemTracker
    -0.87
    phrine
    -0.80
    ermanent
    -0.77
    interstitial
    -0.77
    isco
    -0.75
    anmar
    -0.72
    thren
    -0.69
    erva
    -0.69
    avored
    -0.68
    POSITIVE LOGITS
    ledged
    1.19
    ledge
    1.15
    lege
    0.97
     how
    0.88
     firsthand
    0.86
     beforehand
    0.85
    ingly
    0.85
    LED
    0.84
     exactly
    0.80
     nothing
    0.78
    Activations Density 0.082%

    No Known Activations