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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. 7-RES-JB
    11. 4088
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    Explanations

    numerical information such as measurements or statistics

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and measurements related to food, entertainment, and technology

    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
    sic
    -0.60
    )."
    -0.55
    ]."
    -0.54
     emoji
    -0.50
     spelling
    -0.48
    pron
    -0.48
    ='
    -0.47
     understatement
    -0.47
     "âĢ¦
    -0.47
     initials
    -0.47
    POSITIVE LOGITS
    ©¶æ
    0.62
    slaught
    0.56
     Salary
    0.49
    oaded
    0.47
    ĻĤ
    0.47
    etheless
    0.46
     MFT
    0.45
    icipated
    0.45
    iage
    0.44
     Canaver
    0.44
    Activations Density 1.910%

    No Known Activations