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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to long periods of time, specifically in units of centuries or millennia

    oai_token-act-pair · gpt-3.5-turbo

    references to long time periods, specifically centuries and millennia

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.74
    ozyg
    -0.68
    LV
    -0.66
    pherd
    -0.64
    aughty
    -0.63
    gd
    -0.63
    box
    -0.62
    liga
    -0.61
    ouri
    -0.61
    onis
    -0.60
    POSITIVE LOGITS
     ago
    0.96
     Ago
    0.82
     millennia
    0.82
     BCE
    0.80
     centuries
    0.79
     hindsight
    0.72
     submerged
    0.70
    fu
    0.69
     flowering
    0.68
    ãĥĩãĤ£
    0.68
    Activations Density 0.012%

    No Known Activations