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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 24361
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people, places, or organizations

    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
    enegger
    -0.67
    cffff
    -0.65
    etheless
    -0.62
    ngth
    -0.58
     cleaners
    -0.58
    .).
    -0.58
     ballpark
    -0.53
     clue
    -0.53
    okemon
    -0.52
     cage
    -0.51
    POSITIVE LOGITS
    usk
    0.64
    row
    0.58
    moon
    0.57
    ark
    0.57
    NET
    0.56
    Plot
    0.56
     mode
    0.56
    init
    0.55
    aclysm
    0.55
    anya
    0.55
    Activations Density 0.503%

    No Known Activations