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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. 10-RES-JB
    11. 5865
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    Explanations

    information related to sports matches and events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sporting events and competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aleb
    -0.73
     è£ıè
    -0.72
    ickr
    -0.72
    itive
    -0.69
    anu
    -0.67
     Anon
    -0.66
    ework
    -0.66
    verbal
    -0.65
    angu
    -0.65
    phabet
    -0.64
    POSITIVE LOGITS
     stadiums
    1.11
     weekends
    1.10
     venues
    1.09
     calendar
    1.07
     Sundays
    1.03
     calendars
    1.01
     televised
    1.00
     Saturdays
    0.99
     schedule
    0.98
     theat
    0.97
    Activations Density 0.501%

    No Known Activations