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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 18759
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    Explanations

    mentions of popular culture references such as 'James Bond' and interactive elements like questions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that suggest a playful or casual tone

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     analogous
    -0.72
     overlap
    -0.69
     UNCLASSIFIED
    -0.69
     fluct
    -0.69
    Newsletter
    -0.68
     advers
    -0.67
     generalized
    -0.67
     emphasizes
    -0.67
     etc
    -0.67
     overarching
    -0.66
    POSITIVE LOGITS
    TOR
    0.78
     rejoice
    0.76
    Redditor
    0.74
     Pinball
    0.74
     Morty
    0.73
     Adelaide
    0.73
    CTV
    0.70
     TODAY
    0.69
    dies
    0.69
     Mehran
    0.67
    Activations Density 0.811%

    No Known Activations