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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. 15634
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    Explanations

    words related to conflict or confrontation

    oai_token-act-pair · gpt-3.5-turbo

    words related to various forms of expression and artistic disciplines

    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
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    No Comments

    Negative Logits
    gaard
    -0.75
     Gret
    -0.68
     grit
    -0.67
     Cheong
    -0.66
    Adds
    -0.63
     NK
    -0.62
    places
    -0.62
     independents
    -0.61
    zag
    -0.58
     Gron
    -0.58
    POSITIVE LOGITS
    ioxide
    0.80
    eta
    0.80
    ophen
    0.79
    gypt
    0.76
    pillar
    0.76
    OSS
    0.76
    nect
    0.73
    ÃĽ
    0.72
    Corp
    0.71
    emn
    0.71
    Activations Density 0.092%

    No Known Activations