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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. 20546
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    INDEX
    Explanations

    mentions of specific brands or companies

    oai_token-act-pair · gpt-3.5-turbo

    words related to products or meal replacements

    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
    STON
    -0.77
    side
    -0.75
    BILITIES
    -0.74
    CHR
    -0.66
    CTV
    -0.65
    iets
    -0.65
    STER
    -0.65
    jack
    -0.64
    head
    -0.63
     Heist
    -0.62
    POSITIVE LOGITS
    ropy
    1.15
    ral
    1.11
    ucky
    1.07
    ertain
    0.98
    rification
    0.97
    inel
    0.96
    imental
    0.96
    acles
    0.94
    acion
    0.92
    iment
    0.90
    Activations Density 0.048%

    No Known Activations