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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    mentions of transportation by driving

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "drive."

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.95
    umbn
    -0.80
    aido
    -0.74
    ANN
    -0.68
    akov
    -0.68
    ategor
    -0.67
    icipated
    -0.65
    ikhail
    -0.64
    ereo
    -0.63
    çĦ
    -0.63
    POSITIVE LOGITS
     drive
    1.11
     drives
    1.10
    drive
    0.96
    wheel
    0.90
    bike
    0.89
    Drive
    0.86
     driving
    0.81
    driving
    0.81
    train
    0.81
     drove
    0.81
    Activations Density 0.013%

    No Known Activations