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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. 9-RES-JB
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    Explanations

    different types of flavors and food items such as chocolate, mint, raspberry, mango, cheese, and turkey

    oai_token-act-pair · gpt-3.5-turbo

    information related to flavors and food products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     incompetence
    -0.74
     witness
    -0.71
     incompet
    -0.71
     Wikimedia
    -0.70
    prison
    -0.70
    intelligence
    -0.70
    IRC
    -0.70
     witnesses
    -0.70
     Govern
    -0.69
     academia
    -0.69
    POSITIVE LOGITS
     priced
    1.23
    branded
    1.09
     packaged
    1.08
     bottles
    1.03
     offerings
    1.02
     coupons
    1.01
     pric
    1.01
     brands
    1.00
     varieties
    1.00
     cheapest
    1.00
    Activations Density 0.872%

    No Known Activations