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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. 6-RES-JB
    6. 23065
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    Explanations

    mentions of or discussions about scams

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fraudulent schemes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hani
    -0.69
    FK
    -0.68
    IFE
    -0.66
     Borders
    -0.62
     Differences
    -0.61
     Olive
    -0.60
    Madison
    -0.59
     temperature
    -0.59
     temperatures
    -0.58
     GHC
    -0.58
    POSITIVE LOGITS
    ulent
    1.23
    ulence
    1.13
    pering
    1.10
    ming
    1.04
    sters
    1.03
    crow
    0.98
    mer
    0.97
    ulously
    0.95
    atown
    0.90
    peria
    0.90
    Activations Density 0.020%

    No Known Activations