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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 10031
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    Explanations

    references to the term "Storm"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Storm" as a central theme or concept

    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
    buquerque
    -0.89
    ĸļ
    -0.87
    entary
    -0.86
    terior
    -0.85
    ately
    -0.85
    ablishment
    -0.82
    undai
    -0.82
    choes
    -0.77
    ASED
    -0.76
    alty
    -0.75
    POSITIVE LOGITS
    tro
    1.29
     Storm
    1.05
     Trooper
    1.00
     troopers
    0.95
    bringer
    0.88
    Storm
    0.88
     Prediction
    0.88
    storm
    0.87
    water
    0.82
     trooper
    0.82
    Activations Density 0.005%

    No Known Activations