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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. 23379
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    Explanations

    descriptions of impressive or captivating events or achievements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to drama and spectacle

    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
    idate
    -0.76
    medium
    -0.75
    ovo
    -0.72
    ¾
    -0.71
    oro
    -0.69
    redits
    -0.68
    sole
    -0.67
    oan
    -0.66
    rafted
    -0.66
    early
    -0.66
    POSITIVE LOGITS
     unfolding
    0.95
     ensued
    0.92
     unfolds
    0.91
     unfold
    0.89
     awaits
    0.89
     extraord
    0.87
     unfolded
    0.84
     spectacle
    0.83
     reel
    0.80
     await
    0.78
    Activations Density 0.194%

    No Known Activations