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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. 9-RES-JB
    6. 12885
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    Explanations

    mentions of the character "Spider-Man" or related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the character Spider-Man and related elements from the franchise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    brance
    -0.91
    usable
    -0.75
    inders
    -0.73
    ufact
    -0.68
    essage
    -0.67
    igated
    -0.66
    istance
    -0.66
    orically
    -0.65
    iners
    -0.65
    uction
    -0.64
    POSITIVE LOGITS
    Oak
    0.95
    web
    0.94
    monkey
    0.91
     Spider
    0.90
    Spider
    0.87
    lings
    0.86
     webs
    0.83
     Venom
    0.78
    vine
    0.77
    Bob
    0.76
    Activations Density 0.050%

    No Known Activations