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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. 9263
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    Explanations

    terms related to rates or speeds of change

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rates and measurement

    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
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    No Comments

    Negative Logits
    NetMessage
    -0.88
     Aires
    -0.87
    iami
    -0.87
    ADRA
    -0.80
     Jakarta
    -0.78
    anmar
    -0.75
    IRT
    -0.75
    liga
    -0.74
    ija
    -0.73
    bley
    -0.72
    POSITIVE LOGITS
    payers
    1.30
    payer
    1.13
     rate
    0.89
    Rate
    0.83
    abilities
    0.80
    Beer
    0.78
     Rate
    0.76
     rates
    0.75
     (%)
    0.75
     ratio
    0.75
    Activations Density 0.023%

    No Known Activations