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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. 3-RES-JB
    11. 10689
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    Explanations

    dates and times in the format IST (Indian Standard Time)

    oai_token-act-pair · gpt-3.5-turbo

    specific time references and date-related information

    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
    etsk
    -0.69
    houses
    -0.67
    house
    -0.67
    Americ
    -0.67
    apeake
    -0.66
    wagen
    -0.65
    eting
    -0.65
    quished
    -0.64
    pload
    -0.63
     Rusty
    -0.63
    POSITIVE LOGITS
     IST
    1.05
    ARGET
    0.84
    ANI
    0.82
    rative
    0.82
    AN
    0.80
    Js
    0.79
    ribune
    0.77
    oday
    0.74
    WF
    0.74
    EW
    0.73
    Activations Density 0.012%

    No Known Activations