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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. 17955
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    Explanations

    questions about events or circumstances

    oai_token-act-pair · gpt-3.5-turbo

    questions related to introductions and how individuals came to be involved with specific topics or situations

    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
    Not in Any Lists

    No Comments

    Negative Logits
     reminders
    -0.69
    arer
    -0.64
     consolation
    -0.62
    arers
    -0.57
    illation
    -0.57
    ħĭ
    -0.57
    eware
    -0.57
     anytime
    -0.56
     caveats
    -0.56
     nightly
    -0.55
    POSITIVE LOGITS
     inception
    0.79
     genesis
    0.79
     originate
    0.75
     conception
    0.68
    Interested
    0.68
    aneous
    0.68
    !/
    0.67
    starter
    0.67
    Created
    0.66
     chose
    0.66
    Activations Density 0.255%

    No Known Activations