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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. 14484
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    Explanations

    event details related to dates, times, and locations

    oai_token-act-pair · gpt-3.5-turbo

    details related to event scheduling and timings

    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
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    No Comments

    Negative Logits
     handwriting
    -0.86
     brute
    -0.85
     domest
    -0.81
     extinct
    -0.79
     invent
    -0.79
     favoured
    -0.79
     brut
    -0.76
     faked
    -0.75
     deforestation
    -0.75
     outsourcing
    -0.74
    POSITIVE LOGITS
    Tickets
    1.19
     Doors
    0.96
     TBA
    0.95
     Admission
    0.94
     Tickets
    0.94
     TBD
    0.92
    EMS
    0.88
    Champ
    0.83
     Starts
    0.82
     Finals
    0.82
    Activations Density 0.438%

    No Known Activations