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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word "thrash" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the word "thr" and its variations, which often relate to themes of thrill or excitement

    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
    REDACTED
    -0.84
    DEN
    -0.71
    ++++++++++++++++
    -0.70
    enegger
    -0.70
     PowerPoint
    -0.68
    BALL
    -0.67
    assetsadobe
    -0.67
    BOX
    -0.67
    VICE
    -0.67
    KEN
    -0.66
    POSITIVE LOGITS
    ifty
    1.03
    inges
    1.01
    anches
    1.00
    ashing
    0.98
    isted
    0.95
    assi
    0.94
    uster
    0.93
    ought
    0.92
    inson
    0.92
    acks
    0.92
    Activations Density 0.004%

    No Known Activations