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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. 4-RES-JB
    11. 9177
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    Explanations

    phrases related to cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    culinary steps and ingredients related to cooking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Vaugh
    -0.63
    ONSORED
    -0.62
    enegger
    -0.60
     conclud
    -0.59
    ocument
    -0.57
    ascript
    -0.55
    ij士
    -0.54
     Mub
    -0.54
    Statement
    -0.53
    aution
    -0.53
    POSITIVE LOGITS
     tray
    0.60
     texture
    0.59
     metallic
    0.59
     tube
    0.56
     radiator
    0.56
     coating
    0.55
     translucent
    0.55
     moist
    0.55
     fins
    0.54
     surface
    0.54
    Activations Density 2.293%

    No Known Activations