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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. 6-RES-JB
    11. 231
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    Explanations

    dates and locations in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates and locations, likely related to events or performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hement
    -0.82
     scrap
    -0.75
    ensibly
    -0.70
     footing
    -0.69
     ration
    -0.68
    utic
    -0.64
     influence
    -0.62
    inois
    -0.61
    lected
    -0.61
     McMaster
    -0.60
    POSITIVE LOGITS
    Appearances
    0.82
    Beta
    0.81
    Bet
    0.71
    Atl
    0.70
    OVA
    0.69
    Fax
    0.67
    License
    0.66
    ;;
    0.66
    assembly
    0.65
    Bonus
    0.65
    Activations Density 0.134%

    No Known Activations