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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. 15610
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    Explanations

    words related to rates or statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical rates related to various societal issues, particularly health and crime

    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
    iverse
    -0.82
    nee
    -0.79
    issance
    -0.76
    IFE
    -0.76
    ADRA
    -0.76
    IDA
    -0.74
    Else
    -0.73
    enegger
    -0.72
    ILLE
    -0.71
    quickShipAvailable
    -0.70
    POSITIVE LOGITS
    payers
    1.06
    payer
    1.00
     rates
    1.00
    hare
    0.91
     ratios
    0.84
    pace
    0.82
    heet
    0.80
     fluct
    0.80
     fluctuations
    0.79
     rate
    0.79
    Activations Density 0.019%

    No Known Activations