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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. 9-RES-JB
    6. 12750
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    INDEX
    Explanations

    topics related to economic and social issues, including poverty, unemployment, violence, and financial challenges

    oai_token-act-pair · gpt-3.5-turbo

    indicators of economic distress and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ural
    -0.74
     Ago
    -0.70
    oha
    -0.70
    dit
    -0.70
    RAW
    -0.66
    akeru
    -0.65
    INTON
    -0.65
     originals
    -0.64
    STAR
    -0.64
    ortium
    -0.63
    POSITIVE LOGITS
     rampant
    1.38
     rife
    1.30
     abound
    1.19
     prevalent
    1.18
     endemic
    1.11
     plag
    1.06
     epidemic
    1.03
     blamed
    1.02
     plague
    1.00
     exacerbated
    0.99
    Activations Density 0.403%

    No Known Activations