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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
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    INDEX
    Explanations

    mentions of quantities and types of food ingredients and their characteristics

    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
    373
    +0.14
    0.6%
    400
    +0.12
    0.6%
    144
    +0.12
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    266
    +0.14
    0.13
    480
    +0.12
    0.11
    101
    +0.12
    0.02
    Negative Logits
     regress
    -0.79
    conn
    -0.76
    ilater
    -0.73
    interface
    -0.72
     nexus
    -0.71
     feasibility
    -0.70
     Sovere
    -0.66
    target
    -0.65
    execute
    -0.65
     challeng
    -0.65
    POSITIVE LOGITS
     Gleaming
    0.84
    ãĤ§
    0.76
     Vitamin
    0.74
     Calories
    0.74
     Meal
    0.73
     ceramic
    0.72
     Marketable
    0.72
    ãĤ©
    0.71
     Neon
    0.71
     vitamins
    0.70
    Activations Density 1.792%

    No Known Activations