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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. 8-RES-JB
    6. 4348
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    INDEX
    Explanations

    names of books or titles of works

    oai_token-act-pair · gpt-3.5-turbo

    names of books and literary works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     parity
    -0.76
     allowances
    -0.74
     impair
    -0.74
     cones
    -0.74
     deliveries
    -0.70
    aspers
    -0.69
     statements
    -0.68
    anced
    -0.67
     restrictive
    -0.66
    NetMessage
    -0.65
    POSITIVE LOGITS
     Trilogy
    1.20
     Podcast
    1.05
     Brigade
    1.02
     Collection
    1.01
     Massacre
    0.99
    mma
    0.97
     Awakens
    0.97
     Problem
    0.95
     Handbook
    0.94
     Chronicle
    0.93
    Activations Density 0.418%

    No Known Activations