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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. 7-RES-JB
    11. 11418
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    Explanations

    dates and times in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    specific timestamps, dates, or numerical values related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ogun
    -0.69
    cientious
    -0.65
     ancest
    -0.63
     Zan
    -0.63
    DragonMagazine
    -0.58
    raltar
    -0.57
    payers
    -0.57
    ebted
    -0.57
     Infinity
    -0.57
    oven
    -0.57
    POSITIVE LOGITS
    01
    0.79
    03
    0.75
    04
    0.74
    31
    0.71
    54
    0.70
    07
    0.69
    08
    0.69
    06
    0.69
    02
    0.67
    Ñı
    0.66
    Activations Density 0.114%

    No Known Activations