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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. 4-RES-JB
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    Explanations

    mentions of innings in sports contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of baseball innings

    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
    wealth
    -0.80
    bourg
    -0.76
    sonian
    -0.75
    rir
    -0.74
    eton
    -0.70
    mber
    -0.69
    Guard
    -0.67
    anu
    -0.67
    */(
    -0.66
    âĹ¼
    -0.66
    POSITIVE LOGITS
     pitched
    1.09
     innings
    0.98
     batting
    0.94
     inning
    0.93
     pitchers
    0.89
    terness
    0.85
     pitcher
    0.80
     reliever
    0.80
     opener
    0.78
     batters
    0.74
    Activations Density 0.010%

    No Known Activations