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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. 2960
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    Explanations

    dates in the format of month, day, and year

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and chronological references

    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
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    No Comments

    Negative Logits
    aterasu
    -0.67
     orcs
    -0.63
    orically
    -0.60
     Mormons
    -0.60
     mart
    -0.59
    ãĤ£
    -0.59
     dinosaurs
    -0.58
     Malt
    -0.58
    igans
    -0.57
     ware
    -0.56
    POSITIVE LOGITS
    ths
    0.88
    pole
    0.87
    actionDate
    0.78
    ools
    0.76
    endment
    0.72
    borough
    0.70
    teenth
    0.69
    HCR
    0.68
    tha
    0.67
    th
    0.66
    Activations Density 0.136%

    No Known Activations