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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. 221
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    Explanations

    sport-related information and activities

    oai_token-act-pair · gpt-3.5-turbo

    contractual agreements or deals in a sporting context

    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
    Zip
    -1.04
    Anonymous
    -0.96
    FBI
    -0.95
    GOP
    -0.94
     HHS
    -0.92
     DOE
    -0.91
     nonprofits
    -0.89
     Cherokee
    -0.89
     Neighbor
    -0.88
    Oregon
    -0.88
    POSITIVE LOGITS
     defences
    1.36
     centre
    1.33
     defence
    1.29
     mould
    1.29
     analyse
    1.28
     footballer
    1.28
     favourable
    1.25
     favourites
    1.25
     £
    1.23
     tyre
    1.22
    Activations Density 0.865%

    No Known Activations