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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. 3-RES-JB
    11. 11994
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    Explanations

    dates in the format "Month Day" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    dates and specific chronological references in the text

    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
     screwed
    -0.70
     lumber
    -0.68
    inals
    -0.66
     untold
    -0.63
    htaking
    -0.62
    ocre
    -0.61
     diaper
    -0.59
     glim
    -0.58
    eries
    -0.58
    hower
    -0.57
    POSITIVE LOGITS
     eve
    0.95
    flower
    0.86
     occasions
    0.86
     occasion
    0.76
    fair
    0.75
     Beach
    0.75
    eteenth
    0.74
     Janeiro
    0.73
     heels
    0.73
    ava
    0.71
    Activations Density 0.069%

    No Known Activations