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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. 17322
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    Explanations

    information related to sports events and achievements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports achievements and qualifications

    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
    ................................................................
    -0.86
    accompanied
    -0.72
    compan
    -0.68
     lawy
    -0.68
    reprene
    -0.68
    employ
    -0.67
    chan
    -0.67
    kun
    -0.67
     needles
    -0.66
     actresses
    -0.65
    POSITIVE LOGITS
     playoffs
    1.50
     postseason
    1.38
     playoff
    1.32
     finals
    1.32
     Playoffs
    1.30
     Champions
    1.22
     semifinals
    1.21
     Playoff
    1.18
     Finals
    1.12
     AFC
    1.11
    Activations Density 0.266%

    No Known Activations