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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. 7-RES-JB
    11. 318
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    INDEX
    Explanations

    phrases and words related to sports and competitions

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams and player performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GOP
    -0.82
    CLOSE
    -0.80
     Navajo
    -0.79
     FOIA
    -0.78
    Chuck
    -0.77
    FBI
    -0.75
     ALEC
    -0.75
    paio
    -0.74
    CNN
    -0.73
     MFT
    -0.72
    POSITIVE LOGITS
     striker
    1.24
     relegation
    1.23
     goalkeeper
    1.23
     footballer
    1.22
     midfield
    1.14
     defence
    1.14
     winger
    1.14
     Juventus
    1.13
     Tottenham
    1.13
     Liverpool
    1.11
    Activations Density 1.159%

    No Known Activations