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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. 18130
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    Explanations

    names related to celebrities, movies, and TV shows

    oai_token-act-pair · gpt-3.5-turbo

    references to popular culture and entertainment media

    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
    yond
    -0.61
     newsp
    -0.59
    duc
    -0.57
    ixt
    -0.57
    zens
    -0.56
    aunders
    -0.56
    icter
    -0.56
    sbm
    -0.55
    orthern
    -0.55
     thereof
    -0.54
    POSITIVE LOGITS
     Edit
    1.01
     Profile
    0.99
     âĵĺ
    0.94
     Overview
    0.93
     vs
    0.92
    ¶
    0.91
     Makes
    0.90
     Comparison
    0.88
     Gets
    0.88
     Needs
    0.87
    Activations Density 0.647%

    No Known Activations