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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. 183
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    Explanations

    large numbers preceded by the digits "99"

    oai_token-act-pair · gpt-3.5-turbo

    references to the number 99 followed by various contexts or statistics

    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
    ItemImage
    -0.84
    holders
    -0.83
    holder
    -0.82
    rill
    -0.80
    stem
    -0.80
    tub
    -0.77
    dress
    -0.75
    ophon
    -0.74
    âĹ¼
    -0.73
     Dragonbound
    -0.72
    POSITIVE LOGITS
    %:
    0.95
    999
    0.92
    ¢
    0.90
    %-
    0.90
    %
    0.88
    %,
    0.84
    %;
    0.83
     percent
    0.83
     cents
    0.80
    %"
    0.78
    Activations Density 0.022%

    No Known Activations