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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. 20326
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    INDEX
    Explanations

    phrases that prompt action or emphasize importance

    oai_token-act-pair · gpt-3.5-turbo

    references to objects or items being discussed

    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
    âĢ¢âĢ¢
    -0.76
    mire
    -0.69
    CCC
    -0.65
    âĺħâĺħ
    -0.64
    Iowa
    -0.63
    ILE
    -0.62
    chron
    -0.62
    Jo
    -0.61
    cgi
    -0.60
    execute
    -0.59
    POSITIVE LOGITS
    atically
    1.40
    selves
    1.39
     selves
    1.34
    atic
    1.25
    self
    1.03
    atics
    0.84
    MpServer
    0.80
    alian
    0.79
    abeth
    0.77
     behav
    0.77
    Activations Density 0.127%

    No Known Activations