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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. 11727
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    Explanations

    words related to continuations or sequels

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sequels or spin-offs in media

    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
    asions
    -0.75
    iencies
    -0.75
    isan
    -0.74
    ards
    -0.72
    avery
    -0.68
    tics
    -0.66
    imar
    -0.66
    uchi
    -0.66
    qi
    -0.65
    mberg
    -0.65
    POSITIVE LOGITS
    hesis
    0.97
    heses
    0.86
     thereto
    0.80
     contender
    0.78
     sister
    0.78
     successor
    0.73
    hetical
    0.72
    mast
    0.70
     competitor
    0.70
    dating
    0.70
    Activations Density 0.112%

    No Known Activations