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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. 21303
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    Explanations

    keywords indicating proficiency or skill

    oai_token-act-pair · gpt-3.5-turbo

    words related to proficiency and skillfulness

    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
    Not in Any Lists

    No Comments

    Negative Logits
    EEE
    -0.77
     Zimbabwe
    -0.70
     SOS
    -0.70
     Pump
    -0.69
    Ô
    -0.66
     Supplementary
    -0.65
     SAR
    -0.65
     Sheep
    -0.64
    ORGE
    -0.64
     Worldwide
    -0.64
    POSITIVE LOGITS
    itude
    1.54
    itudes
    1.17
     apt
    1.11
    entimes
    1.03
    uries
    0.90
    anooga
    0.85
     suscept
    0.85
    lest
    0.85
     recip
    0.84
    ickets
    0.82
    Activations Density 0.006%

    No Known Activations