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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. 18704
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    Explanations

    morphological variations and punctuation sequences, particularly focusing on characters like 'Ċ' and 'âĢ'

    oai_token-act-pair · gpt-3.5-turbo

    numeric values or measurements

    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
    uca
    -0.79
    ucci
    -0.66
     undermin
    -0.65
     opting
    -0.63
    hement
    -0.63
     scrap
    -0.61
     sour
    -0.59
     Royale
    -0.58
     trusting
    -0.58
    hetti
    -0.57
    POSITIVE LOGITS
    ³³³
    1.04
    ³³³³³³³³
    1.01
    ³³³³³³³³³³³³³³³³
    1.00
    ³³³³
    0.97
    ³³
    0.83
    âĵĺ
    0.77
    Synopsis
    0.73
    voy
    0.72
    aspx
    0.72
    inav
    0.71
    Activations Density 0.357%

    No Known Activations