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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. 9697
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    INDEX
    Explanations

    phrases related to violence or discrimination

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to violence and ethical treatment concerning gender and sexual 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
    daq
    -0.87
    wark
    -0.75
     Decoder
    -0.71
    riber
    -0.69
    ventory
    -0.69
     Yelp
    -0.69
    NetMessage
    -0.68
    APD
    -0.67
    Forward
    -0.66
    helle
    -0.66
    POSITIVE LOGITS
     minors
    1.31
     children
    1.27
     infants
    1.25
     minorities
    1.24
     juveniles
    1.22
     females
    1.21
     persons
    1.21
     adults
    1.19
     animals
    1.19
     women
    1.19
    Activations Density 0.328%

    No Known Activations