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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. 6-RES-JB
    6. 24109
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    INDEX
    Explanations

    questions or statements expressing debate or inquiry

    oai_token-act-pair · gpt-3.5-turbo

    key nouns and their relationships in complex statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    comfort
    -0.81
    enegger
    -0.76
    Pic
    -0.72
    Vers
    -0.71
    ufact
    -0.69
    opens
    -0.69
    Wil
    -0.69
    ickr
    -0.66
    laughs
    -0.66
    Font
    -0.64
    POSITIVE LOGITS
     differ
    0.78
     shine
    0.75
     stray
    0.67
    exist
    0.66
     surrog
    0.66
     represent
    0.64
     mean
    0.62
     exist
    0.62
     resonate
    0.60
     suffice
    0.60
    Activations Density 0.246%

    No Known Activations