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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. 23891
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    INDEX
    Explanations

    mentions of tubes

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of tubes

    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
     Lowry
    -0.81
    nee
    -0.70
    hig
    -0.70
    inoa
    -0.70
    eting
    -0.70
     Herb
    -0.69
    enture
    -0.68
    cca
    -0.68
    heit
    -0.68
    lied
    -0.67
    POSITIVE LOGITS
     tubes
    0.93
     tube
    0.91
    anus
    0.88
     Britann
    0.80
     Tube
    0.76
    feeding
    0.75
     pus
    0.72
    ength
    0.72
    astic
    0.70
    ules
    0.70
    Activations Density 0.029%

    No Known Activations