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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. 3-RES-JB
    11. 24435
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    Explanations

    adjectives or adverbs related to intensity or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    words that indicate the intensity or prominence of issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CHAT
    -0.73
    ADS
    -0.69
    ango
    -0.69
    Tw
    -0.66
     Maze
    -0.65
    hs
    -0.63
    Bel
    -0.62
     Cloud
    -0.61
     Vacc
    -0.60
     Vault
    -0.60
    POSITIVE LOGITS
     than
    1.15
    than
    0.82
    ictive
    0.78
     sounding
    0.78
    hesive
    0.77
    heed
    0.74
    izable
    0.74
    isable
    0.72
    oldemort
    0.70
    iated
    0.70
    Activations Density 0.185%

    No Known Activations