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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. 1-RES-JB
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    Explanations

    fruits and food items commonly associated with healthy eating

    oai_token-act-pair · gpt-3.5-turbo

    references to specific fruits and vegetables

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    SPONSORED
    -0.73
    atives
    -0.70
    eer
    -0.69
    igree
    -0.68
    trak
    -0.68
     Rapp
    -0.65
    Houston
    -0.64
    roit
    -0.64
     Camer
    -0.63
    rieved
    -0.63
    POSITIVE LOGITS
     strawberry
    1.10
    berries
    0.97
     strawberries
    0.93
     cabbage
    0.92
    fruit
    0.92
    bean
    0.90
    ãĤ©
    0.89
     yogurt
    0.89
    berry
    0.89
     blonde
    0.84
    Activations Density 0.013%

    No Known Activations