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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. 5-RES-JB
    6. 5519
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    Explanations

    references to a person or entity with the name "Ob" followed by a number representing the strength of activation

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Ob" or variations of it in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Remastered
    -0.81
     guiActiveUnfocused
    -0.77
    EngineDebug
    -0.72
     Quadro
    -0.68
     Carlson
    -0.68
     Michaels
    -0.67
    WAYS
    -0.67
    rawdownloadcloneembedreportprint
    -0.66
     Bree
    -0.66
     gas
    -0.66
    POSITIVE LOGITS
    fusc
    1.37
    taining
    1.28
    lique
    1.19
    solete
    1.19
    lig
    1.04
    amacare
    1.03
    vious
    1.00
    noxious
    1.00
    oby
    0.99
    oro
    0.98
    Activations Density 0.008%

    No Known Activations