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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. 7-RES-JB
    6. 1945
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    Explanations

    phrases related to metal sheets

    oai_token-act-pair · gpt-3.5-turbo

    references to "sheet" materials, particularly in various contexts and applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Advocate
    -0.84
    Interstitial
    -0.83
    £ı
    -0.71
     Valley
    -0.71
    ourke
    -0.70
     Abbey
    -0.70
    ilee
    -0.70
    essee
    -0.69
    Pacific
    -0.68
    cknow
    -0.66
    POSITIVE LOGITS
    sheet
    1.39
    sheets
    1.17
     sheet
    1.01
     sheets
    1.00
    paper
    0.86
    enium
    0.83
    metal
    0.81
    mates
    0.77
    meal
    0.77
    rock
    0.76
    Activations Density 0.023%

    No Known Activations