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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. 8-RES-JB
    11. 22685
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    Explanations

    years or time periods

    oai_token-act-pair · gpt-3.5-turbo

    years or dates 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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tu
    -0.72
    entin
    -0.68
    edo
    -0.66
    Demand
    -0.64
    hatt
    -0.63
    hang
    -0.62
    holders
    -0.60
    EStreamFrame
    -0.60
    hop
    -0.60
     Pu
    -0.59
    POSITIVE LOGITS
    -'
    0.85
    ĸļ
    0.77
    å¹
    0.77
    uncture
    0.72
    theless
    0.68
    âķIJ
    0.67
    ãĥŁ
    0.67
    ridge
    0.65
     onward
    0.64
    ãĤ¦ãĤ¹
    0.64
    Activations Density 0.038%

    No Known Activations