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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. 1-RES-JB
    11. 14024
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    Explanations

    phrases indicating the start or end of text

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     altitude
    -0.64
     sky
    -0.64
     tea
    -0.62
     lun
    -0.62
     flu
    -0.62
     transportation
    -0.61
     Orn
    -0.60
     indoors
    -0.60
     stationary
    -0.60
    bars
    -0.60
    POSITIVE LOGITS
    ...]
    1.38
    ".[
    1.37
    âĢ¦]
    1.37
    ."[
    1.16
    Pg
    1.16
    actionDate
    1.14
    ?]
    1.13
    ).[
    1.10
    !]
    1.09
    "[
    1.02
    Activations Density 0.012%

    No Known Activations