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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. 4-RES-JB
    6. 5282
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    Explanations

    phrases mentioning specific names or proper nouns, especially related to news reporting or media personalities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific individual, likely a prominent figure in media or politics

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

    No Comments

    Negative Logits
    stood
    -0.78
    historic
    -0.69
    angers
    -0.68
    omorphic
    -0.68
    population
    -0.66
    ties
    -0.66
     validation
    -0.65
     virginity
    -0.64
     relegation
    -0.64
     stocking
    -0.62
    POSITIVE LOGITS
     GOODMAN
    2.00
    gdala
    1.02
    APH
    0.93
    ENN
    0.84
    AN
    0.81
    ONES
    0.79
    ENCY
    0.79
    NER
    0.78
    AMY
    0.77
    aku
    0.77
    Activations Density 0.005%

    No Known Activations