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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. 7-RES-JB
    6. 2429
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    Explanations

    thoughts, beliefs, and opinions indicated by phrases like "in my mind", "no doubt in my mind", and "in our minds"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unequal
    -0.75
    ammy
    -0.70
     Virt
    -0.66
    ModLoader
    -0.63
     bicycles
    -0.63
     pestic
    -0.61
     Abuse
    -0.61
    byn
    -0.60
    cific
    -0.60
    Iv
    -0.60
    POSITIVE LOGITS
    cells
    0.87
    ulsion
    0.79
    ings
    0.76
    swer
    0.74
    gdala
    0.73
    share
    0.72
    inations
    0.71
    sts
    0.71
    grass
    0.70
    terday
    0.69
    Activations Density 0.063%

    No Known Activations