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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. 17424
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    Explanations

    key terms related to the field of econometrics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "comet" and its characteristics

    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
    cloth
    -0.80
    caps
    -0.66
     reserve
    -0.63
    selection
    -0.63
    critical
    -0.62
    ãĤ½
    -0.59
    context
    -0.59
    words
    -0.59
    SPONSORED
    -0.58
     prevail
    -0.57
    POSITIVE LOGITS
    rics
    1.22
    allic
    1.21
    rium
    1.00
    imet
    1.00
    eor
    0.93
    rix
    0.90
    rial
    0.89
    ool
    0.87
    abolic
    0.85
    atars
    0.84
    Activations Density 0.013%

    No Known Activations