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    2. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    3. GPT2-Small
    4. Attention Out - 32k
    5. 3-ATT_32K-OAI
    6. 3122
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    Explanations

    phrases related to fact-checking and factual accuracy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-att_32k-oai
    Configuration
    jbloom/GPT2-Small-OAI-v5-32k-attn-out-SAEs/v5_32k_layer_3
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    32,768
    Data Type
    torch.float32
    Hook Name
    blocks.3.hook_attn_out
    Hook Layer
    3
    Architecture
    standard
    Context Size
    64
    Dataset
    Skylion007/openwebtext
    Activation Function
    topk
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    622
    +0.10
    0.5%
    384
    +0.10
    0.4%
    766
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    384
    +0.10
    0.03
    703
    +0.10
    0.03
    766
    +0.10
    0.03
    Negative Logits
    Downloadha
    -0.68
    yss
    -0.63
    agara
    -0.62
    inges
    -0.61
    wake
    -0.61
    throp
    -0.61
    Gene
    -0.60
    SpaceEngineers
    -0.59
    etically
    -0.59
    ongyang
    -0.59
    POSITIVE LOGITS
     compr
    0.76
    ulhu
    0.67
    bia
    0.67
    女
    0.66
    rio
    0.64
     Paddock
    0.63
     Furious
    0.63
     deductions
    0.61
    oli
    0.61
    ional
    0.60
    Activations Density 0.092%

    No Known Activations