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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. 2-RES-JB
    11. 15720
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    Explanations

    large numerical quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values, particularly large quantities related to demographics or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ihad
    -0.83
    kell
    -0.82
    warts
    -0.78
    sole
    -0.78
    comes
    -0.71
    uked
    -0.70
    achi
    -0.68
    agan
    -0.67
     Realm
    -0.66
    isman
    -0.64
    POSITIVE LOGITS
    +)
    0.98
    000
    0.97
     ILCS
    0.83
    00000
    0.80
    MHz
    0.79
     MHz
    0.78
    âĸĪ
    0.75
    Hz
    0.75
    0002
    0.75
    bps
    0.75
    Activations Density 0.084%

    No Known Activations