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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. 12-RES-JB
    11. 2825
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    Explanations

    names, likely of politicians or public figures

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    words related to legal and governmental terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Loll
    -0.57
     SOC
    -0.54
     exceptions
    -0.53
     Reconstruction
    -0.53
     commons
    -0.51
     EVs
    -0.51
     forfeiture
    -0.51
     regener
    -0.50
    LESS
    -0.50
     exception
    -0.50
    POSITIVE LOGITS
    ky
    1.51
    kaya
    1.33
    ki
    1.32
    kie
    1.11
    dor
    1.08
    ka
    0.95
    inki
    0.93
    feld
    0.92
    hire
    0.90
    chn
    0.90
    Activations Density 0.099%

    No Known Activations