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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. 10-RES-JB
    11. 6077
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    Explanations

    news headlines with numbers indicating the order of events

    oai_token-act-pair · gpt-3.5-turbo

    numbers, especially in the context of statistics or counts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cot
    -0.72
    uve
    -0.69
    assic
    -0.68
    ocre
    -0.67
    bush
    -0.63
    FK
    -0.62
    DOS
    -0.61
    anism
    -0.59
    yi
    -0.59
    HAHA
    -0.59
    POSITIVE LOGITS
     Caption
    1.20
    actionDate
    0.86
    PLIED
    0.77
    reenshot
    0.75
     Duration
    0.74
     istg
    0.74
     Back
    0.74
     Submit
    0.73
     Receiver
    0.72
     Courtesy
    0.71
    Activations Density 0.030%

    No Known Activations