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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. 7-RES-JB
    11. 7002
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    Explanations

    modes of transportation, such as traveling by specific means like train or boat

    oai_token-act-pair · gpt-3.5-turbo

    terms related to travel and transportation methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ibaba
    -0.79
     Pengu
    -0.65
     tiss
    -0.64
    istries
    -0.62
     resil
    -0.61
     Patri
    -0.60
     Citiz
    -0.60
    endas
    -0.59
     compr
    -0.59
     Vanderbilt
    -0.59
    POSITIVE LOGITS
    loading
    0.74
    _.
    0.66
     guiActiveUn
    0.64
     ILCS
    0.63
    umbers
    0.63
    ADA
    0.62
    alm
    0.62
     means
    0.62
    antine
    0.61
     mile
    0.61
    Activations Density 0.154%

    No Known Activations