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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. 7318
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    Explanations

    words related to the concept of chipping or chipped

    oai_token-act-pair · gpt-3.5-turbo

    words related to gradual consumption or degradation

    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
     Defin
    -0.74
     guiName
    -0.73
     damned
    -0.72
    taboola
    -0.71
    geist
    -0.70
    ADRA
    -0.67
     Palest
    -0.66
     Surviv
    -0.65
     Zed
    -0.63
    da
    -0.62
    POSITIVE LOGITS
    etsk
    0.91
    psey
    0.88
    ilateral
    0.85
    otent
    0.84
    rocal
    0.82
    arent
    0.81
    ips
    0.78
    insula
    0.77
    ule
    0.76
    avascript
    0.75
    Activations Density 0.011%

    No Known Activations