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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. 10-RES-JB
    6. 1708
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    Explanations

    phrases related to movie trailers

    oai_token-act-pair · gpt-3.5-turbo

    references to movie trailers and productions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jri
    -0.95
    isans
    -0.75
    fax
    -0.75
     notation
    -0.73
    ollah
    -0.71
    TeX
    -0.71
     growers
    -0.69
     certific
    -0.69
     employers
    -0.69
     brokers
    -0.68
    POSITIVE LOGITS
     Scream
    1.09
     Crossing
    1.07
     Into
    1.07
     Interstellar
    1.06
     Lethal
    1.06
     Suicide
    1.06
     Gone
    1.06
     Psycho
    1.03
     Parenthood
    1.03
     Episode
    1.03
    Activations Density 0.396%

    No Known Activations