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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. 5-RES-JB
    6. 7976
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    Explanations

    the word "bot" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to bots and their functionalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Struct
    -0.67
     Statements
    -0.61
    egal
    -0.61
    ׾
    -0.59
    ournal
    -0.58
    ITED
    -0.58
     Situation
    -0.58
     Institution
    -0.58
    restricted
    -0.57
    IGH
    -0.57
    POSITIVE LOGITS
    anical
    1.19
    wana
    0.98
    anooga
    0.95
    herer
    0.94
    zeb
    0.90
     Clever
    0.86
    nets
    0.84
    leneck
    0.83
    any
    0.82
    cham
    0.81
    Activations Density 0.012%

    No Known Activations