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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 20938
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    rir
    -0.77
    EEK
    -0.75
    MENTS
    -0.74
    CHA
    -0.72
    ENDED
    -0.71
    lehem
    -0.70
    herty
    -0.69
    houses
    -0.69
    ivity
    -0.68
    CLASS
    -0.67
    POSITIVE LOGITS
    ysis
    1.28
    ity
    1.15
    ogue
    1.00
     piety
    0.89
    arial
    0.87
    ized
    0.84
    ities
    0.84
    ibrary
    0.83
    acies
    0.76
    ogy
    0.74
    Activations Density 0.038%

    No Known Activations