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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. 18059
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    Explanations

    mentions of bikes

    oai_token-act-pair · gpt-3.5-turbo

    references to bicycles and biking-related concepts

    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
    arial
    -0.97
    mberg
    -0.81
    iary
    -0.80
    urities
    -0.78
    ordial
    -0.76
    lishes
    -0.75
    orial
    -0.74
    ional
    -0.73
     Seym
    -0.71
    itives
    -0.71
    POSITIVE LOGITS
    bike
    1.19
    puter
    1.03
     bike
    0.91
     Bike
    0.89
     rider
    0.83
     bikes
    0.80
    cycle
    0.80
     biking
    0.79
    walk
    0.78
    packing
    0.76
    Activations Density 0.013%

    No Known Activations