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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. 2-RES-JB
    11. 14908
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    Explanations

    cities and sports teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations or cities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    haar
    -0.75
    eal
    -0.70
    ced
    -0.70
     Russ
    -0.70
    HCR
    -0.69
    hower
    -0.69
    elson
    -0.67
    berman
    -0.64
    andr
    -0.64
    cing
    -0.62
    POSITIVE LOGITS
     City
    0.93
     Swansea
    0.86
     Belfast
    0.79
     Harbor
    0.78
     harbour
    0.78
    emouth
    0.77
     Borough
    0.76
     Cardiff
    0.74
     Stoke
    0.74
     Wire
    0.71
    Activations Density 0.004%

    No Known Activations