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    3. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    5. GPT2-Small
    7. Attention Out - 32k
    9. 3-ATT_32K-OAI
    11. 3554
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    INDEX
    Explanations

    references to rates, particularly in financial or statistical contexts

    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
    731
    +0.11
    0.5%
    413
    +0.11
    0.5%
    453
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    104
    +0.11
    0.02
    453
    +0.11
    0.02
    731
    +0.09
    0.02
    Negative Logits
    ãĤ¹ãĥĪ
    -0.81
    æĦ
    -0.80
    å¹
    -0.79
     Hollow
    -0.70
    HF
    -0.68
    ppa
    -0.68
    å·
    -0.66
    ãĥĨãĤ£
    -0.65
    æ³
    -0.64
    Lost
    -0.64
    POSITIVE LOGITS
     promoter
    0.73
     promoters
    0.71
     escalation
    0.70
     promot
    0.69
     variance
    0.68
     disruption
    0.67
     relapse
    0.67
     compressor
    0.66
     attendance
    0.66
    terson
    0.64
    Activations Density 0.056%

    No Known Activations