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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. 9497
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    Explanations

    dates and numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical references to ages, years, or statistics

    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
     OD
    -0.70
     Glow
    -0.67
     Shroud
    -0.67
     Pillar
    -0.66
    EStreamFrame
    -0.66
     Decay
    -0.66
     VID
    -0.65
     PT
    -0.65
     EDIT
    -0.65
    doi
    -0.65
    POSITIVE LOGITS
    asus
    0.89
    aeus
    0.85
    aring
    0.79
    aru
    0.76
    urtle
    0.76
    ür
    0.75
    haven
    0.73
    bian
    0.72
    bled
    0.71
    eren
    0.71
    Activations Density 0.350%

    No Known Activations