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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. 24064
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    Explanations

    phrases starting with "Let" followed by interactions or statements

    oai_token-act-pair · gpt-3.5-turbo

    phrases starting with "Let."

    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
    atana
    -0.72
    existent
    -0.69
    PLIED
    -0.68
    Zen
    -0.65
    ³³³
    -0.64
     Soldier
    -0.64
     holiest
    -0.63
    natureconservancy
    -0.62
    ragon
    -0.60
     Âł Âł Âł Âł
    -0.59
    POSITIVE LOGITS
    itia
    1.06
    icia
    0.98
    tering
    0.93
    ting
    0.93
    tered
    0.92
    hetically
    0.71
    cheon
    0.70
    aston
    0.69
    winter
    0.67
    ters
    0.67
    Activations Density 0.017%

    No Known Activations