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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. 9-RES-JB
    11. 4922
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    Explanations

    references to bicycles

    oai_token-act-pair · gpt-3.5-turbo

    references to bicycles and related infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.90
     Seym
    -0.78
    iary
    -0.76
    mberg
    -0.74
    orial
    -0.73
    ional
    -0.72
    ordial
    -0.72
    uminati
    -0.72
    aneously
    -0.70
     Lauder
    -0.68
    POSITIVE LOGITS
    bike
    1.03
     rider
    1.02
     riders
    0.94
    packing
    0.91
    cling
    0.90
     commuters
    0.88
     racer
    0.86
     commuting
    0.85
     messenger
    0.84
     riding
    0.83
    Activations Density 0.054%

    No Known Activations