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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. 4-RES-JB
    11. 2684
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    Explanations

    date and time references in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    timestamps and publication dates in text

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

    No Comments

    Negative Logits
     meanwhile
    -0.69
    edIn
    -0.67
     arose
    -0.62
     Predator
    -0.62
    metics
    -0.59
    chwitz
    -0.58
     extermin
    -0.56
     Palestin
    -0.55
    xual
    -0.55
     balcon
    -0.55
    POSITIVE LOGITS
    UTC
    0.81
     UTC
    0.76
    WE
    0.73
     CLR
    0.68
    asp
    0.67
    arg
    0.66
    ham
    0.66
    31
    0.66
    arter
    0.66
    th
    0.65
    Activations Density 0.121%

    No Known Activations