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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. 2255
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    Explanations

    quotations with attribution

    oai_token-act-pair · gpt-3.5-turbo

    emotional expressions and sentiments related to danger or concern

    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
     Annotations
    -0.72
     Finder
    -0.70
     Taiwanese
    -0.65
     Kitty
    -0.64
     liner
    -0.63
     guiActiveUnfocused
    -0.63
     Droid
    -0.62
    pmwiki
    -0.62
    è¦ļéĨĴ
    -0.61
     Sorceress
    -0.61
    POSITIVE LOGITS
    '"
    0.94
    sic
    0.87
    }"
    0.87
    .,"
    0.86
    said
    0.82
    ""
    0.81
    âĢķ
    0.80
    borgh
    0.79
    -[
    0.78
    \\\\
    0.78
    Activations Density 0.326%

    No Known Activations