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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. 10-RES-JB
    11. 12255
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    Explanations

    numbers indicating durations of time

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and their relationships in time or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gael
    -0.62
     obliged
    -0.59
    eering
    -0.57
     Sweeney
    -0.57
     Jagu
    -0.57
     ÂŃ
    -0.56
     sting
    -0.56
     ``
    -0.55
     Lauder
    -0.55
     cautioned
    -0.55
    POSITIVE LOGITS
    nd
    1.26
    rd
    1.21
    yrs
    1.08
    WD
    1.06
    x
    1.06
    200
    1.06
    ÃĹ
    1.02
    âĺħ
    0.99
    500
    0.97
    th
    0.95
    Activations Density 0.151%

    No Known Activations