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    1. Home
    2. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    3. GPT2-Small
    4. Attention Out - 32k
    5. 3-ATT_32K-OAI
    6. 3923
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    Explanations

    references to specific years and the associated events or contexts within those years

    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
    496
    +0.11
    0.5%
    524
    +0.10
    0.5%
    340
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    411
    +0.11
    0.03
    603
    +0.10
    0.03
    132
    +0.10
    0.03
    Negative Logits
    NetMessage
    -0.74
    emetery
    -0.73
     indefinite
    -0.73
    ijk
    -0.73
    aban
    -0.71
    alysis
    -0.71
    onomy
    -0.69
    APTER
    -0.68
    Section
    -0.67
    gap
    -0.65
    POSITIVE LOGITS
    ensis
    0.77
    tu
    0.68
     Excel
    0.67
     Providence
    0.65
     outnumbered
    0.63
     Champ
    0.63
     Lego
    0.62
     Stamford
    0.61
     Rudy
    0.61
    oké
    0.60
    Activations Density 0.789%

    No Known Activations