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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. 2-RES-JB
    11. 15489
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    Explanations

    technical terms such as abbreviations or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to specific technical terms or acronyms related to technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perty
    -0.90
    ocene
    -0.86
    pload
    -0.70
    otin
    -0.69
    ationally
    -0.68
    ships
    -0.67
    NetMessage
    -0.67
    gdala
    -0.66
     Polic
    -0.65
     actionGroup
    -0.65
    POSITIVE LOGITS
     DT
    0.82
    DT
    0.81
    roit
    0.80
    FILE
    0.79
    uning
    0.78
    ness
    0.77
    ilde
    0.76
    ²¾
    0.75
    ector
    0.73
    ail
    0.73
    Activations Density 0.011%

    No Known Activations