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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. 11366
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    Explanations

    references to dining locations or experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to dining and seating arrangements

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Archangel
    -0.80
     Mub
    -0.79
     Belarus
    -0.73
     Aerospace
    -0.73
    Downloadha
    -0.67
    vernment
    -0.66
     annexed
    -0.66
     Pryor
    -0.65
    ality
    -0.64
     Cyrus
    -0.64
    POSITIVE LOGITS
    eteria
    1.05
     dining
    0.95
     halls
    0.91
    bowl
    0.88
     etiquette
    0.87
    iasco
    0.86
     tastes
    0.83
     establishments
    0.82
     guests
    0.82
    cloth
    0.82
    Activations Density 0.010%

    No Known Activations