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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. 10-RES-JB
    6. 19498
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    Explanations

    word forms related to communication or transmission of information

    oai_token-act-pair · gpt-3.5-turbo

    words related to communication or notification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Untitled
    -0.66
    nosis
    -0.64
    sung
    -0.62
    arthy
    -0.61
    gars
    -0.61
    puff
    -0.60
    ר
    -0.60
    á
    -0.59
    NER
    -0.59
    mite
    -0.59
    POSITIVE LOGITS
    ally
    1.10
     superiors
    0.96
     us
    0.93
    ingly
    0.92
     passers
    0.80
     authorities
    0.79
     clients
    0.78
     me
    0.77
     landowners
    0.75
     customers
    0.75
    Activations Density 0.055%

    No Known Activations