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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 847
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    INDEX
    Explanations

    mentions of government positions and departments

    oai_token-act-pair · gpt-3.5-turbo

    references to government officials or positions

    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
     Coverage
    -1.15
     Balls
    -1.12
     Piece
    -1.08
     Scores
    -1.08
     Areas
    -1.08
     Claim
    -1.07
     Parties
    -1.07
     Pressure
    -1.05
     Amount
    -1.04
     Fans
    -1.03
    POSITIVE LOGITS
     senate
    1.10
     commons
    1.05
     sciences
    1.05
     treasurer
    0.96
     chancellor
    0.95
     agriculture
    0.94
     queen
    0.93
     corps
    0.91
     arts
    0.91
     americ
    0.90
    Activations Density 0.514%

    No Known Activations