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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. 11-RES-JB
    11. 6559
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    Explanations

    information about events such as dates, times, locations, and organizers

    oai_token-act-pair · gpt-3.5-turbo

    event details, particularly dates, times, and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Britain
    -0.73
    ozy
    -0.70
     Romania
    -0.69
    abad
    -0.67
     realised
    -0.67
     Yugoslavia
    -0.67
    È
    -0.66
     Bihar
    -0.66
    ouf
    -0.65
     Britain
    -0.65
    POSITIVE LOGITS
     Admission
    1.19
     Tickets
    1.00
    Tickets
    0.90
     Doors
    0.90
     noon
    0.87
     Proceed
    0.78
     picnic
    0.77
     booths
    0.76
     admission
    0.76
     priced
    0.76
    Activations Density 0.300%

    No Known Activations