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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. 17052
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    Explanations

    mentions of items being offered for sale

    oai_token-act-pair · gpt-3.5-turbo

    mentions of items available for sale

    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
    atever
    -0.70
    inct
    -0.69
     Investigations
    -0.68
    aired
    -0.66
    urnal
    -0.65
    aque
    -0.63
    laim
    -0.62
     certific
    -0.62
    leaning
    -0.61
    ulhu
    -0.61
    POSITIVE LOGITS
    tion
    0.84
    eers
    0.78
    ables
    0.78
    neau
    0.78
     sale
    0.76
     price
    0.75
    cloth
    0.75
     prices
    0.74
     proceeds
    0.73
    cry
    0.72
    Activations Density 0.023%

    No Known Activations