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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. 6-RES-JB
    6. 6684
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    Explanations

    concepts related to mysterious or enigmatic topics

    oai_token-act-pair · gpt-3.5-turbo

    references to mysteries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    baugh
    -0.84
    attery
    -0.84
    obe
    -0.82
    umbnail
    -0.77
    odium
    -0.77
    ocations
    -0.76
    onest
    -0.74
    arf
    -0.73
    ocate
    -0.73
    ornia
    -0.73
    POSITIVE LOGITS
     solved
    0.99
     mysteries
    0.88
     mystery
    0.86
     Flavoring
    0.86
     unsolved
    0.84
     Mystery
    0.84
     surrounds
    0.81
     twist
    0.71
     shroud
    0.70
     puzzles
    0.70
    Activations Density 0.024%

    No Known Activations