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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. 13685
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    Explanations

    words associated with instructions or directives

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "to."

    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
    listed
    -0.66
    soDeliveryDate
    -0.65
    hops
    -0.64
    pointers
    -0.61
    afety
    -0.60
    hur
    -0.59
    croft
    -0.57
    Got
    -0.56
    resy
    -0.56
    need
    -0.56
    POSITIVE LOGITS
    pload
    1.05
     maximize
    0.96
     avoid
    0.96
     compensate
    0.96
     minimize
    0.93
     give
    0.91
     eliminate
    0.90
     keep
    0.90
     satisfy
    0.89
     fulfill
    0.88
    Activations Density 1.202%

    No Known Activations