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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. 20460
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    Explanations

    detailed descriptions or explanations of events or situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "detail" in various forms

    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
     Sabha
    -0.78
    lahoma
    -0.68
    Enlarge
    -0.68
    heric
    -0.67
    ometer
    -0.65
    ansas
    -0.62
    ernels
    -0.62
    ernel
    -0.62
    itsch
    -0.61
    ellig
    -0.61
    POSITIVE LOGITS
     excerpts
    0.83
    Ĥª
    0.83
     details
    0.82
    stories
    0.80
     how
    0.78
     anecdotes
    0.77
     tales
    0.77
     feats
    0.74
     detailing
    0.74
     Charges
    0.73
    Activations Density 0.093%

    No Known Activations