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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. 5-RES-JB
    6. 9920
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    Explanations

    phrases related to scientific research and data analysis

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "This" indicating new ideas or concepts introduced in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ARS
    -0.77
    unk
    -0.76
    aws
    -0.71
    amia
    -0.67
    icons
    -0.64
    adle
    -0.63
    oller
    -0.63
    rums
    -0.63
    isms
    -0.61
    own
    -0.61
    POSITIVE LOGITS
     latter
    0.89
     contrasts
    0.86
     article
    0.83
     arrang
    0.83
     culminated
    0.82
     discrepancy
    0.81
     particular
    0.80
     trope
    0.80
     week
    0.79
     phenomenon
    0.78
    Activations Density 0.163%

    No Known Activations