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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. 19878
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    Explanations

    references to statistics or specific numerical values

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Stat" and its variations related to statistics or data reporting

    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
    intosh
    -0.73
    ONSORED
    -0.72
     possibilities
    -0.71
     traveler
    -0.71
    ï¸
    -0.69
     traveller
    -0.69
    wash
    -0.66
    gie
    -0.66
     Manz
    -0.65
    âĢ¢âĢ¢
    -0.63
    POSITIVE LOGITS
    utes
    1.06
    utory
    1.05
    ute
    1.05
    ements
    0.99
    UTE
    0.96
    uting
    0.91
    idences
    0.88
    istically
    0.87
    istical
    0.85
    emic
    0.84
    Activations Density 0.035%

    No Known Activations