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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. 6445
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    Explanations

    years in a specific format, like 'YYYY'

    oai_token-act-pair · gpt-3.5-turbo

    dates and the year mentioned in the text

    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
     unexpl
    -0.68
     cooperative
    -0.66
     arrang
    -0.65
     relativity
    -0.64
     chairs
    -0.63
     periodic
    -0.63
     cumbers
    -0.63
     traject
    -0.62
     hospitality
    -0.62
     glac
    -0.62
    POSITIVE LOGITS
    <|endoftext|>
    0.86
    ↵
    0.85
     Source
    0.81
     Tweet
    0.79
    ↵↵
    0.78
     âĨij
    0.76
     @@
    0.75
     RELEASE
    0.74
     Cancel
    0.73
     Quote
    0.72
    Activations Density 0.030%

    No Known Activations