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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. 3741
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    Explanations

    positive expressions or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant changes or developments 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
    iru
    -0.61
     laun
    -0.59
    inki
    -0.55
    Accessory
    -0.54
    vice
    -0.53
     cig
    -0.53
    MJ
    -0.51
    vg
    -0.50
     Ambro
    -0.49
    article
    -0.48
    POSITIVE LOGITS
     lately
    1.10
     since
    0.91
     recently
    0.71
    since
    0.70
     countless
    0.67
     numerous
    0.65
     previously
    0.60
    successfully
    0.59
     successfully
    0.58
     extensively
    0.58
    Activations Density 1.152%

    No Known Activations