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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. 4-RES-JB
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    Explanations

    references to winning championships in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of championships or championship-related contexts

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

    No Comments

    Negative Logits
    omorphic
    -0.80
    uld
    -0.79
    rogen
    -0.76
    omorph
    -0.75
    agen
    -0.75
     beh
    -0.74
    oven
    -0.73
    animate
    -0.73
    ths
    -0.73
    ometric
    -0.70
    POSITIVE LOGITS
     championship
    0.86
     trophy
    0.83
     medal
    0.81
     Finals
    0.81
     contender
    0.81
     certs
    0.80
     caliber
    0.79
     prize
    0.74
     pedigree
    0.72
     rematch
    0.72
    Activations Density 0.010%

    No Known Activations