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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. 8-RES-JB
    6. 449
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    Explanations

    words related to legal processes or legal actions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "trauma" or related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mellon
    -0.78
     retention
    -0.72
    hyde
    -0.72
    ensor
    -0.69
     equity
    -0.67
     Equity
    -0.62
    ifference
    -0.61
    etts
    -0.61
    ãģ®éŃĶ
    -0.61
    ENSE
    -0.60
    POSITIVE LOGITS
    pez
    0.88
    vest
    0.87
    vert
    0.85
    ppings
    0.85
    ph
    0.81
    fact
    0.81
    ================================================================
    0.78
    tty
    0.78
    ordinary
    0.78
    inen
    0.76
    Activations Density 0.023%

    No Known Activations