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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. 23390
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    Explanations

    terms related to scaling or growth

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scaling and growth 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
    vous
    -0.78
    algia
    -0.68
    naire
    -0.67
    esson
    -0.67
    uala
    -0.66
    riad
    -0.63
    roit
    -0.63
     Leilan
    -0.63
     Guilty
    -0.63
     Lauder
    -0.62
    POSITIVE LOGITS
     scale
    0.90
     scaled
    0.87
     scales
    0.82
    itized
    0.82
    Factor
    0.81
     heights
    0.80
     proportions
    0.78
     invari
    0.76
    itzer
    0.71
    Scale
    0.71
    Activations Density 0.012%

    No Known Activations