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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. 6-RES-JB
    11. 350
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     antioxid
    -0.70
    SQL
    -0.67
    ĺħ
    -0.65
    ommel
    -0.62
    entimes
    -0.61
    OGR
    -0.61
    lass
    -0.60
     domest
    -0.59
    arkin
    -0.59
    oton
    -0.59
    POSITIVE LOGITS
     partName
    0.70
    ramid
    0.67
     EDT
    0.67
    when
    0.66
    oulos
    0.64
     PDT
    0.64
    ixels
    0.64
     Remem
    0.61
     Exactly
    0.60
     Highway
    0.60
    Activations Density 0.137%

    No Known Activations