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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. 12590
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    Explanations

    references to political figures with a possibly negative connotation

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to biological or scientific terminology

    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
     CPC
    -0.62
    channelAvailability
    -0.61
     confines
    -0.59
     STATS
    -0.56
     causation
    -0.56
     goats
    -0.55
    SHIP
    -0.55
    OPLE
    -0.55
    Detailed
    -0.54
     Kyr
    -0.54
    POSITIVE LOGITS
    leck
    0.85
    Wan
    0.85
    ratulations
    0.84
    uary
    0.79
    worldly
    0.77
    wald
    0.77
    aqu
    0.74
    acid
    0.72
    orio
    0.70
    thro
    0.68
    Activations Density 0.070%

    No Known Activations