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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. 2-RES-JB
    11. 6468
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    Explanations

    word sequences related to official statements or decisions

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lace
    -0.45
     sake
    -0.45
     Ib
    -0.45
     Wonders
    -0.45
     coasts
    -0.45
    66666666
    -0.44
    oiler
    -0.44
     Slug
    -0.44
     Exhibition
    -0.44
    3000
    -0.43
    POSITIVE LOGITS
    conduct
    0.60
     confidential
    0.60
     whistleblower
    0.59
    NetMessage
    0.56
     advis
    0.55
     affirmative
    0.55
    natureconservancy
    0.54
     overseeing
    0.54
     unanimously
    0.54
     briefing
    0.54
    Activations Density 6.208%

    No Known Activations