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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. 4-RES-JB
    11. 24076
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    Explanations

    references to sports postseason events

    oai_token-act-pair · gpt-3.5-turbo

    references to playoff or tournament contexts in sports

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

    No Comments

    Negative Logits
    erie
    -0.99
    lev
    -0.88
    yg
    -0.86
    grave
    -0.81
    stra
    -0.79
    ettle
    -0.78
    mith
    -0.78
    ym
    -0.77
    leon
    -0.77
    hyde
    -0.76
    POSITIVE LOGITS
     postseason
    0.80
     appearances
    0.77
     qualifiers
    0.77
     playoffs
    0.77
     MVP
    0.72
     drought
    0.72
     Playoffs
    0.70
     tournaments
    0.70
     elimination
    0.70
     Mayhem
    0.69
    Activations Density 0.005%

    No Known Activations