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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. 3-RES-JB
    6. 22031
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    Explanations

    words that contain 'au'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "au"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACTED
    -0.76
    EVA
    -0.68
    DonaldTrump
    -0.67
     GOODMAN
    -0.65
    WHO
    -0.64
    STATE
    -0.62
    APS
    -0.62
     Grimes
    -0.61
    frames
    -0.61
    âĸĪâĸĪâĸĪâĸĪ
    -0.60
    POSITIVE LOGITS
    llah
    1.10
    gment
    1.06
    lette
    0.93
    clair
    0.91
    lly
    0.88
    cham
    0.86
    pload
    0.85
    ction
    0.84
    qua
    0.84
    fman
    0.83
    Activations Density 0.016%

    No Known Activations