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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. 2-RES-JB
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    Explanations

    references to sports teams, particularly the Chicago Cubs and the Chicago Blackhawks

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Chicago Cubs baseball team

    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
    uters
    -0.88
    arth
    -0.71
    ggies
    -0.69
    tml
    -0.69
    trak
    -0.69
    iterranean
    -0.67
     exha
    -0.66
    antly
    -0.64
    ¿½
    -0.64
     looph
    -0.64
    POSITIVE LOGITS
     Cubs
    1.05
    Dex
    0.77
    layer
    0.76
     Tribune
    0.76
     Baseball
    0.75
     Bulls
    0.75
     infield
    0.71
     Bears
    0.70
     catcher
    0.70
     Brewers
    0.69
    Activations Density 0.006%

    No Known Activations