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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. 1-RES-JB
    11. 2582
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    Explanations

    timestamps and time zones

    oai_token-act-pair · gpt-3.5-turbo

    mentions of time zones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Wheel
    -0.73
    road
    -0.72
    hid
    -0.71
    Stock
    -0.68
    gil
    -0.66
    hide
    -0.66
    ked
    -0.66
    pton
    -0.65
    loading
    -0.65
    hist
    -0.64
    POSITIVE LOGITS
     EST
    1.00
    EMBER
    0.91
     EDT
    0.90
     ET
    0.80
    imation
    0.79
     comprom
    0.79
    eport
    0.78
    weet
    0.77
    entimes
    0.75
     mathemat
    0.74
    Activations Density 0.006%

    No Known Activations