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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. 16063
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    Explanations

    specific dates and times represented in a certain format

    oai_token-act-pair · gpt-3.5-turbo

    sequences of digits, particularly formatted as dates

    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
    awaru
    -0.77
    ailability
    -0.76
    inventoryQuantity
    -0.75
    ocene
    -0.74
     exha
    -0.73
    agues
    -0.73
    senal
    -0.72
    ngth
    -0.72
    pora
    -0.70
    inately
    -0.70
    POSITIVE LOGITS
    000000
    1.00
    09
    1.00
    01
    0.97
    03
    0.95
    07
    0.95
    05
    0.94
    02
    0.92
    0100
    0.92
    06
    0.91
    031
    0.90
    Activations Density 0.014%

    No Known Activations