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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. 6-RES-JB
    6. 5329
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    INDEX
    Explanations

    mentions of cast members in various productions

    oai_token-act-pair · gpt-3.5-turbo

    references to a cast in film or television contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -1.03
    £ı
    -0.83
     Wass
    -0.68
     econom
    -0.67
    IGH
    -0.64
    COMPLE
    -0.64
    zsche
    -0.63
     Taste
    -0.61
     Habit
    -0.61
     bin
    -0.60
    POSITIVE LOGITS
    aways
    1.33
    members
    1.31
    member
    1.27
    mates
    1.17
     mates
    1.01
    room
    0.91
    away
    0.90
    ration
    0.89
     members
    0.89
    mate
    0.88
    Activations Density 0.014%

    No Known Activations