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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. 13424
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    Explanations

    mentions of 'sheet'

    oai_token-act-pair · gpt-3.5-turbo

    references to "sheet" and related materials or concepts

    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
    Interstitial
    -0.81
     Advocate
    -0.80
    ilee
    -0.78
    ourke
    -0.72
     Valley
    -0.70
    qua
    -0.69
    Pacific
    -0.69
     Abbey
    -0.68
    essee
    -0.66
    =-=-=-=-=-=-=-=-
    -0.63
    POSITIVE LOGITS
    sheet
    1.40
    sheets
    1.20
     sheet
    1.05
     sheets
    1.04
    enium
    0.82
    paper
    0.80
     Sheet
    0.77
    meal
    0.77
    mination
    0.76
    heet
    0.75
    Activations Density 0.020%

    No Known Activations