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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    mentions of education levels

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to education levels and the concept of being educated

    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
    pload
    -0.74
    soDeliveryDate
    -0.73
    itual
    -0.69
    coni
    -0.65
    imposed
    -0.64
    asper
    -0.64
    isite
    -0.64
    FTWARE
    -0.64
    emb
    -0.63
    eeper
    -0.62
    POSITIVE LOGITS
     educated
    0.94
     guesses
    0.93
    llor
    0.89
    educated
    0.88
     educ
    0.81
     elites
    0.79
    Frameworks
    0.77
     graduates
    0.74
    ĨĴ
    0.73
    uced
    0.72
    Activations Density 0.013%

    No Known Activations