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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
    11. 14485
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    Explanations

    numerical data or statistics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of data

    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
    ggles
    -0.71
    GBT
    -0.70
    ovie
    -0.69
    ModLoader
    -0.63
    ducers
    -0.62
    aughs
    -0.61
    spell
    -0.61
    ouston
    -0.61
    STRUCT
    -0.61
    âķIJ
    -0.60
    POSITIVE LOGITS
    data
    1.02
     data
    1.01
     analytics
    0.98
    iologist
    0.96
    Data
    0.88
    iological
    0.83
    ãĤº
    0.83
     Data
    0.83
     DATA
    0.82
     recorder
    0.78
    Activations Density 0.029%

    No Known Activations