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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. 7-RES-JB
    6. 3245
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize significant or prominent subjects within a context

    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
    SPONSORED
    -0.91
    pps
    -0.82
    leck
    -0.74
    erson
    -0.73
    assium
    -0.68
    enced
    -0.68
    thumbnails
    -0.68
    ï¸ı
    -0.66
    pired
    -0.66
    NK
    -0.66
    POSITIVE LOGITS
     bandwagon
    0.95
     rug
    0.94
     mantle
    0.87
     carpet
    0.83
     sofa
    0.78
     treadmill
    0.78
     dime
    0.76
     notion
    0.75
     generosity
    0.75
     ledge
    0.74
    Activations Density 0.383%

    No Known Activations