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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. 9-RES-JB
    11. 16407
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    Explanations

    information related to sports events and statistics

    oai_token-act-pair · gpt-3.5-turbo

    instances of specific statistics or numerical data related to sports performances

    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
     statewide
    -0.93
     FOIA
    -0.88
     DOD
    -0.85
    Chuck
    -0.84
     Navajo
    -0.84
    Larry
    -0.83
    GOP
    -0.82
    CLOSE
    -0.82
    paio
    -0.82
     DOE
    -0.81
    POSITIVE LOGITS
     footballer
    1.28
     £
    1.20
     Fifa
    1.20
     Tottenham
    1.18
     Liverpool
    1.18
     Newcastle
    1.11
     Sunderland
    1.11
     Leicester
    1.10
     Wembley
    1.10
     apologise
    1.10
    Activations Density 0.667%

    No Known Activations