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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. 17398
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    Explanations

    sports events with their outcomes

    oai_token-act-pair · gpt-3.5-turbo

    sports game outcomes and scores

    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
    ources
    -0.67
    ographies
    -0.66
    catentry
    -0.66
     crossings
    -0.61
     concess
    -0.60
    Found
    -0.58
     ingred
    -0.58
    prises
    -0.57
     incorpor
    -0.56
     advise
    -0.56
    POSITIVE LOGITS
     against
    1.11
    against
    0.99
     vs
    0.94
     Saturday
    0.94
     Sunday
    0.91
     versus
    0.90
     rout
    0.85
     Nov
    0.85
    Sept
    0.84
     loss
    0.84
    Activations Density 0.072%

    No Known Activations