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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. 8586
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    Explanations

    words related to negative connotations or harmful attributes

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with negative outcomes or harmful effects

    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
     Carbuncle
    -0.76
    æĸ¹
    -0.75
     Polo
    -0.72
    BOOK
    -0.72
     Annotations
    -0.72
    ALK
    -0.71
    externalActionCode
    -0.70
    ãĥ¼ãĥĨãĤ£
    -0.69
    uyomi
    -0.68
     Defenders
    -0.67
    POSITIVE LOGITS
    colm
    1.10
    adies
    1.10
    ignant
    1.06
    formed
    1.03
    arial
    0.96
    igned
    0.93
    practice
    0.93
    ady
    0.88
    icious
    0.86
     mal
    0.85
    Activations Density 0.015%

    No Known Activations