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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. 4-RES-JB
    11. 869
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    INDEX
    Explanations

    descriptions of soccer/football game events

    oai_token-act-pair · gpt-3.5-turbo

    significant events related to sports gameplay actions and moments

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

    No Comments

    Negative Logits
     licenses
    -0.80
     certs
    -0.79
    zos
    -0.78
    oplan
    -0.78
     MFT
    -0.78
    channelAvailability
    -0.77
    onym
    -0.76
     newsletters
    -0.76
    soType
    -0.75
     nonprofits
    -0.75
    POSITIVE LOGITS
     clash
    0.93
     favour
    0.89
     decisive
    0.87
     midfield
    0.87
     defences
    0.86
     defence
    0.85
     teammate
    0.83
     Palace
    0.82
     Wembley
    0.82
     favourable
    0.81
    Activations Density 0.659%

    No Known Activations