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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. 5-RES-JB
    6. 14666
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    Explanations

    technical terms or actions related to computer programming or data processing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to instructions, measurements, and connections in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vest
    -0.57
    CHAT
    -0.55
     Originally
    -0.52
    oln
    -0.52
    algia
    -0.51
     Utility
    -0.50
     Veteran
    -0.49
     FANTASY
    -0.49
     Supplemental
    -0.48
     Apart
    -0.48
    POSITIVE LOGITS
     imaginable
    0.76
    çķ
    0.64
    _.
    0.63
     mosqu
    0.63
    ãĤ´ãĥ³
    0.59
    arsity
    0.59
     mates
    0.58
    ãĤ·
    0.57
    otype
    0.57
    .</
    0.57
    Activations Density 0.838%

    No Known Activations