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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. 6-RES-JB
    11. 14903
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    Explanations

    phrases related to superlatives or extremes, such as "the most" or "extremely."

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate significance or prominence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Carlton
    -0.77
    fix
    -0.61
     Scarlett
    -0.61
     Garr
    -0.61
     Canberra
    -0.61
     secrets
    -0.61
     Words
    -0.61
     Constant
    -0.60
     Bella
    -0.60
     Tuc
    -0.58
    POSITIVE LOGITS
     unus
    0.84
     unsu
    0.83
     ineligible
    0.80
     Osw
    0.77
     susceptible
    0.76
     unfit
    0.74
     compos
    0.73
    Ö¼
    0.69
     uniquely
    0.67
     usable
    0.66
    Activations Density 0.162%

    No Known Activations