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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. 3-RES-JB
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    Explanations

    mentions of the city of Edinburgh

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Edinburgh and Glasgow

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rahim
    -0.93
    eus
    -0.77
    haar
    -0.76
    lyak
    -0.73
    alez
    -0.72
    OHN
    -0.71
    heses
    -0.71
    stakes
    -0.70
    illus
    -0.69
    lr
    -0.67
    POSITIVE LOGITS
     Edinburgh
    1.05
     Yard
    1.04
     Rite
    1.01
    inburgh
    1.00
     Glasgow
    0.97
    gow
    0.92
     SPL
    0.76
     Sturgeon
    0.75
     Scotland
    0.74
     Exhibition
    0.73
    Activations Density 0.007%

    No Known Activations