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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
    11. 12818
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    Explanations

    mentions of a specific type of cuisine, particularly sushi

    oai_token-act-pair · gpt-3.5-turbo

    specific names of food establishments, particularly sushi restaurants

    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
     Brexit
    -0.73
     Bre
    -0.67
     break
    -0.66
     dir
    -0.66
     rh
    -0.64
     Category
    -0.62
     breaks
    -0.62
     broke
    -0.62
     NIC
    -0.61
     letter
    -0.61
    POSITIVE LOGITS
    ushi
    4.59
    urai
    1.23
    shi
    1.22
    uko
    1.13
    awaru
    1.12
    uki
    1.07
    yip
    1.05
    arak
    1.05
    uchi
    1.04
    ugi
    1.04
    Activations Density 0.022%

    No Known Activations