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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. 9-RES-JB
    11. 6927
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    Explanations

    references to specific points in time or events

    oai_token-act-pair · gpt-3.5-turbo

    temporal references and indicators of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arious
    -0.68
    ilipp
    -0.65
     hid
    -0.63
     differed
    -0.62
    gat
    -0.61
    <?
    -0.60
    acc
    -0.59
    arre
    -0.58
    WER
    -0.57
    ocal
    -0.57
    POSITIVE LOGITS
     2019
    1.00
     2020
    0.97
     2021
    0.93
    soDeliveryDate
    0.92
    morrow
    0.90
     next
    0.86
     expires
    0.85
     2024
    0.83
     tomorrow
    0.82
     2022
    0.81
    Activations Density 0.240%

    No Known Activations