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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. 11-RES-JB
    11. 14677
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    Explanations

    mentions of achievements in sports competitions

    oai_token-act-pair · gpt-3.5-turbo

    significant achievements and milestones in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Property
    -0.77
     Cousins
    -0.71
     reconc
    -0.71
    Pod
    -0.69
    âĹ¼
    -0.69
     leases
    -0.68
    nyder
    -0.68
     Shutdown
    -0.67
     landlords
    -0.67
    Warning
    -0.67
    POSITIVE LOGITS
     medal
    1.26
     swim
    1.24
     gymn
    1.22
     bronze
    1.22
     hurd
    1.19
    estyle
    1.18
     medals
    1.16
     relay
    1.13
    athlon
    1.10
     ja
    1.09
    Activations Density 0.385%

    No Known Activations