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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. 6-RES-JB
    6. 2725
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    Explanations

    mentions of inmates or prison-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to inmates within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.84
    ku
    -0.75
    ãĥ¼ãĥ³
    -0.72
     Nare
    -0.70
    OD
    -0.70
    ãĤ¤ãĥĪ
    -0.69
    vous
    -0.66
    edom
    -0.65
    jri
    -0.64
     Oslo
    -0.63
    POSITIVE LOGITS
    iaries
    0.88
    iary
    0.83
    yrinth
    0.72
    ysis
    0.70
    iencies
    0.69
    uates
    0.66
    mate
    0.64
    ividual
    0.63
     millenn
    0.63
    atha
    0.63
    Activations Density 0.065%

    No Known Activations