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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. 3-RES-JB
    11. 4725
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    Explanations

    food items and ingredients from a menu

    oai_token-act-pair · gpt-3.5-turbo

    food and beverage-related terms and descriptors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gamergate
    -0.92
     DPR
    -0.86
     IEEE
    -0.84
     EEG
    -0.79
     seism
    -0.78
     SpaceX
    -0.77
     Grayson
    -0.76
     SPD
    -0.74
     RSA
    -0.74
     Hawking
    -0.72
    POSITIVE LOGITS
     flavors
    1.24
     sauces
    1.23
     tasting
    1.21
    isine
    1.21
     flavours
    1.15
     dessert
    1.14
     cakes
    1.13
    Ingredients
    1.12
     delicious
    1.12
     desserts
    1.10
    Activations Density 0.743%

    No Known Activations