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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. 13680
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    Explanations

    symbols and miscellanea in different writing styles

    oai_token-act-pair · gpt-3.5-turbo

    unique or special characters and symbols

    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
     Learns
    -0.79
     metic
    -0.65
     Carbuncle
    -0.62
     behavi
    -0.61
     litter
    -0.60
    kson
    -0.59
     Kills
    -0.58
    glers
    -0.58
     Pool
    -0.58
     hemor
    -0.57
    POSITIVE LOGITS
    =~=~
    0.70
    AppData
    0.68
    âĸł
    0.68
    finished
    0.67
    CLOSE
    0.65
     denotes
    0.65
    cffffcc
    0.65
    Ïī
    0.64
    Ult
    0.63
    _>
    0.62
    Activations Density 0.148%

    No Known Activations