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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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    Explanations

    references to sea-related topics, particularly regarding migration and wildlife

    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
    683
    +0.10
    0.5%
    220
    +0.10
    0.5%
    98
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    683
    +0.10
    0.02
    510
    +0.10
    0.02
    220
    +0.10
    0.02
    Negative Logits
    abase
    -1.03
    tein
    -0.81
    Loop
    -0.76
    ħĭ
    -0.76
    atform
    -0.69
    ¢
    -0.68
    azon
    -0.68
    apest
    -0.66
    ãĤ¤ãĥĪ
    -0.64
    ernaut
    -0.64
    POSITIVE LOGITS
     breat
    0.72
    thia
    0.71
    bnb
    0.69
    imeters
    0.64
    pressed
    0.64
    jri
    0.63
     swall
    0.63
     tigers
    0.63
     condoms
    0.62
    otom
    0.61
    Activations Density 0.088%

    No Known Activations