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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. 3772
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    INDEX
    Explanations

    references to specific individuals or groups in various 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
    610
    +0.13
    0.6%
    223
    +0.10
    0.4%
    333
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    610
    +0.13
    0.05
    6
    +0.10
    0.04
    421
    +0.09
    0.04
    Negative Logits
     attrition
    -0.81
    venants
    -0.79
    cible
    -0.74
     reven
    -0.72
    jong
    -0.71
    heastern
    -0.71
    bern
    -0.65
    >,
    -0.64
     whirlwind
    -0.64
    sung
    -0.63
    POSITIVE LOGITS
    ï¸
    0.85
    OPLE
    0.71
    -+-+
    0.70
     Pepe
    0.69
     Kathy
    0.69
    )=(
    0.68
     depicts
    0.67
     Armen
    0.66
     Became
    0.66
     Ney
    0.64
    Activations Density 0.780%

    No Known Activations