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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. 2-RES-JB
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    Explanations

    mentions of the term "Major" in the context of sports leagues or events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Major League" across different sports contexts

    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
    romeda
    -0.80
     Vaugh
    -0.74
     damned
    -0.72
     Machina
    -0.70
    mong
    -0.69
    ardless
    -0.69
    perate
    -0.68
    *)
    -0.66
    tein
    -0.65
    âĶĢâĶĢ
    -0.64
    POSITIVE LOGITS
    olition
    0.79
     depressive
    0.75
    Major
    0.73
     League
    0.72
    itized
    0.72
     leagues
    0.72
    olor
    0.69
     tournaments
    0.68
     contributor
    0.66
    minster
    0.65
    Activations Density 0.007%

    No Known Activations