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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. 14115
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    Explanations

    hyphenated third-party terms

    oai_token-act-pair · gpt-3.5-turbo

    references to third-party entities and their involvement 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
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    Negative Logits
     DRAG
    -0.78
     Richards
    -0.75
     Paradox
    -0.73
    utical
    -0.72
    pload
    -0.72
     Lovecraft
    -0.71
    ãĤ¡
    -0.70
     Canaver
    -0.70
     Arabian
    -0.70
    Ń·
    -0.68
    POSITIVE LOGITS
    degree
    1.20
    eyed
    1.16
    party
    1.14
    dimensional
    1.13
    level
    1.09
    ranked
    1.09
    chance
    1.08
    century
    1.08
    generation
    1.05
    year
    1.02
    Activations Density 0.043%

    No Known Activations