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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. 7-RES-JB
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    mentions of different wild animals, specifically focusing on tigers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of wild animals, particularly big cats and other exotic species

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ASED
    -0.76
     unification
    -0.67
    âĸ¬
    -0.65
    Commission
    -0.65
    tainment
    -0.62
     Angle
    -0.62
     creditor
    -0.62
    Attempts
    -0.62
    cknow
    -0.61
    icity
    -0.60
    POSITIVE LOGITS
    aurus
    1.09
    cale
    1.07
    uits
    1.07
    folk
    1.03
    '
    0.98
    hips
    0.97
    ongs
    0.96
    wana
    0.95
    paces
    0.95
    afety
    0.94
    Activations Density 0.149%

    No Known Activations