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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22021
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific legal provisions or regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Magikarp
    -0.73
    ampa
    -0.70
    ritz
    -0.64
    CV
    -0.63
     Doodle
    -0.61
    arton
    -0.59
     gasp
    -0.59
     actionGroup
    -0.59
    Arc
    -0.58
    kson
    -0.58
    POSITIVE LOGITS
    ality
    1.11
    ally
    1.10
    witz
    1.03
    alities
    0.95
    ional
    0.91
    arians
    0.88
    arian
    0.87
    ions
    0.86
    aler
    0.77
    mental
    0.76
    Activations Density 0.028%

    No Known Activations