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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. 9-RES-JB
    11. 7125
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    Explanations

    topics related to technology and practical applications, such as software, tools, and security measures

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to destruction and energy systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     condem
    -0.72
     repud
    -0.61
    phas
    -0.59
     millenn
    -0.58
     parted
    -0.54
    iban
    -0.54
     unden
    -0.54
     notor
    -0.53
    WARN
    -0.52
     indict
    -0.51
    POSITIVE LOGITS
    ¶
    0.89
     âĢº
    0.79
    ↵
    0.78
     Posted
    0.77
     safely
    0.76
    ↵↵
    0.75
     efficiently
    0.74
     without
    0.74
     whilst
    0.72
    ?
    0.72
    Activations Density 0.934%

    No Known Activations