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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. 4100
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    INDEX
    Explanations

    numerical data and statistics

    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
    143
    +0.14
    0.6%
    580
    +0.10
    0.5%
    233
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    519
    +0.14
    0.04
    220
    +0.10
    0.03
    462
    +0.10
    0.03
    Negative Logits
    anship
    -0.83
    ilant
    -0.73
    icable
    -0.66
     Aman
    -0.65
    thora
    -0.65
    ":[{"
    -0.65
    perty
    -0.62
    icably
    -0.60
    xus
    -0.60
    uberty
    -0.60
    POSITIVE LOGITS
    ãĤ©
    0.83
    baugh
    0.74
    ãĤ¼ãĤ¦ãĤ¹
    0.66
    Gre
    0.64
    plain
    0.61
     Beverly
    0.59
    Reilly
    0.59
     Tradable
    0.59
    BN
    0.58
    ãĥķãĤ©
    0.58
    Activations Density 0.469%

    No Known Activations