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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. 3-RES-JB
    6. 22245
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    Explanations

    terms related to peer review processes

    oai_token-act-pair · gpt-3.5-turbo

    specific references to legal terminology or illicit activities

    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
    eton
    -0.75
    aline
    -0.74
    ylon
    -0.70
    selves
    -0.69
    Fly
    -0.67
    HAM
    -0.67
     Avenger
    -0.66
     Hang
    -0.65
     Ends
    -0.64
    self
    -0.63
    POSITIVE LOGITS
    utable
    0.78
     crochet
    0.72
     certify
    0.67
    cess
    0.63
     artisan
    0.62
    utive
    0.62
    UGE
    0.61
     vou
    0.59
    batch
    0.58
    owicz
    0.58
    Activations Density 0.000%

    No Known Activations