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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. 3587
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    INDEX
    Explanations

    phrases describing size and dimensions

    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
    425
    +0.12
    0.5%
    756
    +0.10
    0.4%
    678
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    678
    +0.12
    0.03
    256
    +0.10
    0.02
    381
    +0.10
    0.02
    Negative Logits
     Literature
    -0.80
     rall
    -0.79
    andise
    -0.75
    olkien
    -0.73
    uments
    -0.69
     Osw
    -0.69
     Peg
    -0.66
    abilia
    -0.66
     Bunny
    -0.64
     Logged
    -0.64
    POSITIVE LOGITS
     âĶľ
    0.81
     manageable
    0.73
    complex
    0.68
     bursts
    0.67
    âĶĢâĶĢâĶĢâĶĢ
    0.66
     haz
    0.65
    dot
    0.63
    hazard
    0.62
     burst
    0.62
     overtime
    0.62
    Activations Density 0.533%

    No Known Activations