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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. 23304
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to sanctions and related legislative or regulatory terms

    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
     intest
    -0.75
    inav
    -0.73
    uten
    -0.65
     Khe
    -0.64
    asio
    -0.64
    é¾įå
    -0.64
     Infinite
    -0.62
    ullivan
    -0.62
     Schne
    -0.60
    lihood
    -0.59
    POSITIVE LOGITS
    ction
    0.96
    eers
    0.92
    ial
    0.90
    naire
    0.89
    SHIP
    0.86
    ategory
    0.83
    eer
    0.82
    alled
    0.82
    eur
    0.80
    âĶĢâĶĢâĶĢâĶĢ
    0.79
    Activations Density 0.015%

    No Known Activations