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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. 3433
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    Explanations

    terminology related to mental health and psychiatric classification

    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
    +0.12
    0.5%
    497
    +0.10
    0.5%
    7
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    7
    +0.12
    0.02
    569
    +0.10
    0.02
    598
    +0.10
    0.02
    Negative Logits
    SPONSORED
    -0.72
    Lago
    -0.68
    [/
    -0.67
    6666
    -0.64
     wheelchair
    -0.63
     versa
    -0.63
    Scroll
    -0.62
    OTUS
    -0.60
    Tro
    -0.59
    PO
    -0.59
    POSITIVE LOGITS
    anie
    0.64
    agy
    0.64
    duction
    0.63
    imov
    0.63
    lins
    0.63
    ergy
    0.63
    nings
    0.61
    ebus
    0.59
    amac
    0.59
    antha
    0.58
    Activations Density 0.111%

    No Known Activations