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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. 9-RES-JB
    11. 17959
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    Explanations

    records or achievements in sports

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports records and achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ensibly
    -0.78
     responsive
    -0.69
    fix
    -0.67
    isks
    -0.67
     urgently
    -0.66
    lik
    -0.66
    medium
    -0.65
    Pros
    -0.65
    kok
    -0.64
     periphery
    -0.64
    POSITIVE LOGITS
     feat
    0.99
     surpass
    0.88
     eclips
    0.86
     consecutive
    0.86
     Babe
    0.86
     1901
    0.85
     streaks
    0.84
     longest
    0.84
     1906
    0.84
     4096
    0.83
    Activations Density 0.493%

    No Known Activations