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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. 0-RES-JB
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    Explanations

    references to specific petroleum companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of petroleum companies and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    blind
    -0.68
     Fired
    -0.62
     ax
    -0.60
     implicit
    -0.60
     RF
    -0.60
     Hots
    -0.60
     Shots
    -0.59
    ItemImage
    -0.58
     FF
    -0.57
     irrad
    -0.56
    POSITIVE LOGITS
     Petroleum
    2.45
    jan
    2.22
    apan
    1.62
     petroleum
    1.49
     Grande
    1.25
    jun
    1.11
    ön
    1.10
    ournal
    1.09
     Lama
    1.06
    utsch
    1.01
    Activations Density 0.034%

    No Known Activations