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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. 3-RES-JB
    6. 15033
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms related to a particular individual or organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Murdoch
    -0.74
     Osw
    -0.70
    OPLE
    -0.70
     Pas
    -0.69
    phrine
    -0.67
    PORT
    -0.67
     Strauss
    -0.65
    cean
    -0.65
    UNCH
    -0.64
     chefs
    -0.63
    POSITIVE LOGITS
    rha
    0.83
    onial
    0.83
    aah
    0.81
    thens
    0.81
    ials
    0.79
    sburgh
    0.77
    obo
    0.76
    rador
    0.75
    iations
    0.74
    onite
    0.74
    Activations Density 0.026%

    No Known Activations