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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. 2144
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    Explanations

    words related to events or activities

    oai_token-act-pair · gpt-3.5-turbo

    words and terms associated with events and gatherings

    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
    ynthesis
    -0.91
    ovember
    -0.67
    ï¸ı
    -0.65
     CrossRef
    -0.64
     Curry
    -0.64
    ionage
    -0.63
     Pew
    -0.61
     Sins
    -0.61
    ync
    -0.59
     Scourge
    -0.57
    POSITIVE LOGITS
    goers
    1.32
     organizers
    1.13
    eer
    1.11
     organisers
    1.10
    eers
    1.07
     coordin
    1.05
     promoters
    1.04
    ees
    1.04
     planners
    1.02
     organizer
    1.00
    Activations Density 0.337%

    No Known Activations