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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. 9-RES-JB
    6. 5147
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    Explanations

    abbreviations and organizations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gencies
    -0.66
    edIn
    -0.66
     depress
    -0.64
    ozyg
    -0.62
    \":
    -0.61
     bitters
    -0.60
     guiActiveUn
    -0.60
     temper
    -0.58
     pestic
    -0.58
     weeping
    -0.57
    POSITIVE LOGITS
    ISO
    1.03
    WC
    0.97
    MC
    0.92
    KC
    0.91
    NB
    0.91
    DP
    0.91
    VC
    0.91
    AMS
    0.90
    PC
    0.90
    OC
    0.89
    Activations Density 0.093%

    No Known Activations