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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. 6-RES-JB
    6. 8346
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    Explanations

    specific numbers and technical terms often related to technology or data

    oai_token-act-pair · gpt-3.5-turbo

    numbers, years, and terms related to specific organizations or formal structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     challeng
    -0.56
     vou
    -0.54
     referen
    -0.51
     conduc
    -0.51
    jri
    -0.48
    anwhile
    -0.48
     furthermore
    -0.48
     proport
    -0.48
     smelled
    -0.48
     acted
    -0.47
    POSITIVE LOGITS
    dom
    0.52
    abs
    0.50
    independence
    0.49
    cigarettes
    0.48
     Syndrome
    0.47
    ds
    0.47
    brew
    0.47
    max
    0.46
     Genetics
    0.46
    arenthood
    0.46
    Activations Density 0.852%

    No Known Activations