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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. 12294
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    Explanations

    words related to actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    references to specific actions or behaviors

    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
    mbuds
    -0.69
    zi
    -0.68
    ILE
    -0.63
    ondo
    -0.63
    used
    -0.62
    ringe
    -0.61
    inately
    -0.61
    OV
    -0.60
    awk
    -0.60
    ruciating
    -0.60
    POSITIVE LOGITS
     actions
    1.16
    uations
    1.07
     ACTIONS
    1.00
     action
    0.92
     Actions
    0.83
    uation
    0.82
    igraph
    0.80
    terday
    0.79
    bucks
    0.79
    uality
    0.78
    Activations Density 0.015%

    No Known Activations