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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. 8-RES-JB
    11. 11273
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    Explanations

    numbers related to sports statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to a person's career achievements and statistics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rity
    -0.77
    irms
    -0.67
    aunch
    -0.65
    ocate
    -0.64
    hops
    -0.64
    isks
    -0.64
    atem
    -0.64
    xual
    -0.64
    terday
    -0.63
    ards
    -0.62
    POSITIVE LOGITS
    long
    0.81
     opener
    0.80
     shortened
    0.78
     unbeaten
    0.71
     grade
    0.70
     highs
    0.69
     finale
    0.69
    grade
    0.68
     tally
    0.67
     record
    0.67
    Activations Density 0.149%

    No Known Activations