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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. 13398
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    Explanations

    adjectives related to a lack of excitement or interest

    oai_token-act-pair · gpt-3.5-turbo

    words related to dullness or lack of excitement

    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
    NEWS
    -0.77
    ographed
    -0.70
     injunction
    -0.68
    udeau
    -0.67
     IOC
    -0.67
    hel
    -0.64
    conservancy
    -0.63
    ETF
    -0.62
    unin
    -0.61
    itia
    -0.60
    POSITIVE LOGITS
    ards
    1.00
    ard
    0.93
    ered
    0.92
    ukong
    0.84
    iated
    0.83
    rice
    0.82
    ives
    0.82
    ners
    0.79
     dull
    0.77
    ardo
    0.76
    Activations Density 0.010%

    No Known Activations