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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. 11425
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    Explanations

    phrases related to products or services being new or recently introduced

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "brand new" and its various occurrences

    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
    absor
    -0.72
    prov
    -0.71
    eme
    -0.67
    ocratic
    -0.63
    erves
    -0.62
    Ĥ
    -0.61
    upper
    -0.61
    benef
    -0.61
    Ju
    -0.61
    zik
    -0.61
    POSITIVE LOGITS
    ciating
    0.73
    bies
    0.70
     edition
    0.68
     Frankenstein
    0.66
     storefront
    0.66
    adoes
    0.65
    ilings
    0.65
    ismo
    0.64
     iceberg
    0.64
     scenery
    0.64
    Activations Density 0.044%

    No Known Activations