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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. 4-RES-JB
    11. 14556
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    Explanations

    dates in the format 'YYYY'

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to dates and statistics

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

    No Comments

    Negative Logits
    gets
    -0.74
    BOOK
    -0.74
    locks
    -0.73
    staking
    -0.69
    ¥µ
    -0.69
    bear
    -0.64
    bags
    -0.64
    shock
    -0.62
    spread
    -0.62
     tradem
    -0.61
    POSITIVE LOGITS
    rd
    1.85
    RD
    1.07
    RF
    0.87
    osa
    0.86
    endez
    0.83
    00
    0.82
    rade
    0.80
    istics
    0.80
    arget
    0.78
    inates
    0.78
    Activations Density 0.060%

    No Known Activations