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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. 3-RES-JB
    6. 14031
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    Explanations

    words related to agreement or alignment with a statement or sentiment

    oai_token-act-pair · gpt-3.5-turbo

    instances of agreement or concurrence with statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     jails
    -0.69
    patch
    -0.64
     Gram
    -0.64
    worm
    -0.63
     Tycoon
    -0.63
    worms
    -0.63
     Uriel
    -0.61
    quer
    -0.60
    scan
    -0.59
    MRI
    -0.59
    POSITIVE LOGITS
     arrang
    0.81
     acknow
    0.81
     agreeing
    0.78
     principle
    0.77
    awaru
    0.76
    clus
    0.76
     waive
    0.75
    atever
    0.75
    enance
    0.75
     agre
    0.73
    Activations Density 0.271%

    No Known Activations