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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. 15851
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    Explanations

    terms related to legal proceedings or reviews

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "prep" related to evidence or allegations

    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
     Butterfly
    -0.70
     Millennium
    -0.66
     Roses
    -0.64
    geist
    -0.63
     Refuge
    -0.63
    soever
    -0.62
    dylib
    -0.62
    cig
    -0.61
    hold
    -0.61
    âĸ¬
    -0.61
    POSITIVE LOGITS
    oster
    1.08
    ublic
    1.00
    otent
    0.92
    regnancy
    0.88
    ulse
    0.87
    ubes
    0.86
     prep
    0.85
    heat
    0.82
    aired
    0.81
    uberty
    0.80
    Activations Density 0.007%

    No Known Activations