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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 "Stanley Cup."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Stanley Cup" and contexts associated with it

    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
    ged
    -0.92
    eer
    -0.80
    hy
    -0.78
    ansas
    -0.76
    shapeshifter
    -0.76
    gil
    -0.76
    nir
    -0.75
    trak
    -0.74
    ebus
    -0.73
    lez
    -0.73
    POSITIVE LOGITS
     Stanley
    1.14
     Kubrick
    0.98
     Calder
    0.83
    thal
    0.82
     Winter
    0.81
     Baldwin
    0.81
     Transactions
    0.77
     Trophy
    0.76
     goalie
    0.73
     goaltender
    0.71
    Activations Density 0.006%

    No Known Activations