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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 Edmonton

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city Edmonton

    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
    thood
    -0.82
    stakes
    -0.77
    colo
    -0.76
    kus
    -0.74
    FACE
    -0.69
    warts
    -0.68
    uku
    -0.68
    agy
    -0.66
    sole
    -0.66
    friend
    -0.66
    POSITIVE LOGITS
     Oilers
    1.24
    monton
    1.10
    shire
    0.85
     Tribune
    0.84
     Edmonton
    0.79
    atoon
    0.79
     Rapids
    0.77
    ipeg
    0.74
     municipality
    0.71
    inburgh
    0.69
    Activations Density 0.010%

    No Known Activations