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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 11748
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    Explanations

    terms indicating growth or increase over time

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "grown"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Zur
    -0.67
    VD
    -0.64
     Heist
    -0.64
    Alert
    -0.64
    ue
    -0.63
    uing
    -0.63
    alert
    -0.62
    UI
    -0.62
    eering
    -0.62
    FD
    -0.61
    POSITIVE LOGITS
     grown
    3.76
    grown
    2.28
     matured
    1.83
     grow
    1.77
     grows
    1.55
    grow
    1.54
     grew
    1.53
     growing
    1.50
    growing
    1.43
     cultivated
    1.39
    Activations Density 0.011%

    No Known Activations