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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. 11-RES-JB
    11. 22194
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    Explanations

    phrases related to the release or arrival of products or media in the market

    oai_token-act-pair · gpt-3.5-turbo

    instances of products or items being released or launched into the market

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ascript
    -0.73
    VIDIA
    -0.72
    Percent
    -0.71
    iece
    -0.70
    HAEL
    -0.70
     sidx
    -0.66
     sqor
    -0.66
    ange
    -0.63
    artney
    -0.62
     deducted
    -0.62
    POSITIVE LOGITS
     shelves
    1.52
     market
    1.12
     shores
    1.06
     stores
    1.05
     marketplace
    1.03
     markets
    1.03
     circulation
    1.02
     supermarkets
    1.02
     sale
    1.00
    market
    0.99
    Activations Density 0.288%

    No Known Activations