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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 2580
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    Explanations

    action verbs related to information processing or technology

    oai_token-act-pair · gpt-3.5-turbo

    the end of document markers or punctuation indicating conclusion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     submar
    -0.76
     Frie
    -0.68
     Vaugh
    -0.68
     Seym
    -0.67
     Nare
    -0.66
     Beir
    -0.65
     Niet
    -0.64
    emale
    -0.62
     Azerb
    -0.60
     Maver
    -0.60
    POSITIVE LOGITS
    yon
    0.81
    ables
    0.79
    progress
    0.75
     guiActiveUnfocused
    0.74
     ]
    0.74
    ments
    0.72
    backs
    0.69
     html
    0.69
    able
    0.68
    eth
    0.67
    Activations Density 0.104%

    No Known Activations