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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. 8-RES-JB
    11. 3301
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    Explanations

    phrases related to sports teams and games

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ILCS
    -0.65
    lopp
    -0.61
    Trend
    -0.60
     pestic
    -0.60
     charism
    -0.59
    minist
    -0.59
     adv
    -0.59
    lder
    -0.59
    dig
    -0.59
     comr
    -0.58
    POSITIVE LOGITS
     resulted
    0.83
     sparked
    0.80
     prompted
    0.79
     last
    0.77
     ensued
    0.76
     earlier
    0.75
     provoked
    0.74
    ¿½
    0.73
     coincided
    0.73
     illustrates
    0.73
    Activations Density 0.495%

    No Known Activations