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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. 5687
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    INDEX
    Explanations

    phrases related to quantification or comparison

    oai_token-act-pair · gpt-3.5-turbo

    expressions of quantity and inclusivity

    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
    edin
    -0.78
    habi
    -0.74
    cpp
    -0.72
    azeera
    -0.70
    aunder
    -0.69
    zag
    -0.68
     sidx
    -0.66
    utterstock
    -0.66
    igslist
    -0.65
    ractor
    -0.64
    POSITIVE LOGITS
     )))
    0.71
     writers
    0.70
     astronomers
    0.67
     disgruntled
    0.67
     scientists
    0.66
     disparate
    0.65
     commentators
    0.64
     technicians
    0.64
    ONE
    0.63
     programmers
    0.63
    Activations Density 0.378%

    No Known Activations