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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. 20642
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    Explanations

    references to various sports teams and players

    oai_token-act-pair · gpt-3.5-turbo

    names of sports teams and their associations

    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
     Ples
    -0.63
    Els
    -0.63
    Trigger
    -0.60
    ngth
    -0.59
    iblical
    -0.59
     Isle
    -0.59
    grain
    -0.59
    arser
    -0.59
    cedented
    -0.57
     Kafka
    -0.57
    POSITIVE LOGITS
     FC
    0.99
     squad
    0.81
     (@
    0.77
     dynasty
    0.74
     hockey
    0.72
     outfield
    0.72
     roster
    0.71
     Fans
    0.71
     defeated
    0.71
     XI
    0.70
    Activations Density 0.107%

    No Known Activations