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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. 9-RES-JB
    11. 23450
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to major development or digitization projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    utterstock
    -0.65
    leans
    -0.65
    Enlarge
    -0.62
    women
    -0.62
    cigarettes
    -0.62
    IVES
    -0.61
    ickr
    -0.59
    externalActionCode
    -0.59
     smokers
    -0.59
    merce
    -0.58
    POSITIVE LOGITS
     the
    0.67
     this
    0.67
     Dia
    0.65
     Version
    0.60
     aspects
    0.60
    orously
    0.60
     Niet
    0.59
     Revision
    0.58
     Project
    0.57
     Proto
    0.57
    Activations Density 1.293%

    No Known Activations