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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. 1-RES-JB
    6. 9714
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    Explanations

    user profiles on an online platform based on the number of posts they have made

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Posts" and associated numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bhar
    -0.73
     Palest
    -0.69
    ONSORED
    -0.66
    fitted
    -0.65
    bid
    -0.65
    inant
    -0.63
    ãĥ¼ãĤ¯
    -0.62
     Horowitz
    -0.62
    fitting
    -0.61
    itably
    -0.61
    POSITIVE LOGITS
     Posts
    1.46
    Posts
    1.12
    ertodd
    0.96
     posts
    0.90
     Joined
    0.90
    reply
    0.82
     Posted
    0.81
    Joined
    0.77
     Offense
    0.77
    ################
    0.74
    Activations Density 0.008%

    No Known Activations