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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. 8-RES-JB
    11. 1332
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    Explanations

    references to specific companies and animals

    oai_token-act-pair · gpt-3.5-turbo

    references to the ExxonMobil company and related entities

    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
    arat
    -0.83
    acht
    -0.80
    olith
    -0.78
    fold
    -0.74
    iffe
    -0.73
    aic
    -0.70
    Torrent
    -0.70
    âĵĺ
    -0.69
    eker
    -0.66
    enium
    -0.66
    POSITIVE LOGITS
    Mobil
    0.99
    ciating
    0.90
     Vald
    0.83
     Grizzlies
    0.82
    illas
    0.80
    vernment
    0.77
     Mobil
    0.77
    ascus
    0.77
     Tigers
    0.73
     Hilton
    0.71
    Activations Density 0.118%

    No Known Activations