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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. 18913
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    oai_token-act-pair · gpt-3.5-turbo

    repeated uses of the article "a," indicating a focus on definitions or classifications

    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
     Jagu
    -0.78
    rar
    -0.70
    Catal
    -0.70
    âĢİ
    -0.70
    ATURES
    -0.69
     credits
    -0.68
     favourites
    -0.66
     aliases
    -0.65
    Ingredients
    -0.64
     encour
    -0.63
    POSITIVE LOGITS
     lot
    1.06
    rouse
    1.00
    merce
    1.00
     bunch
    0.94
     person
    0.90
     nutshell
    0.90
     certain
    0.89
     particular
    0.88
    sexual
    0.86
     multitude
    0.86
    Activations Density 0.417%

    No Known Activations