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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. 17463
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    Explanations

    keywords related to racing or marathons

    oai_token-act-pair · gpt-3.5-turbo

    terms related to races and racing events

    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
    lip
    -0.72
    peria
    -0.66
    utenant
    -0.65
    wark
    -0.62
    pie
    -0.62
     Clancy
    -0.61
     Templar
    -0.61
     Cogn
    -0.60
    Ľ
    -0.60
    ionage
    -0.59
    POSITIVE LOGITS
    goers
    1.36
     organizers
    1.28
     organisers
    1.22
     invitations
    1.19
     attendees
    1.15
     schedule
    1.14
     itiner
    1.11
     venue
    1.09
     schedules
    1.04
     organizer
    1.04
    Activations Density 0.298%

    No Known Activations