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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. 4145
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    INDEX
    Explanations

    mentions of specific names and terms related to food and culinary 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
    135
    +0.12
    0.5%
    294
    +0.11
    0.5%
    712
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    135
    +0.12
    0.02
    294
    +0.11
    0.01
    712
    +0.10
    0.01
    Negative Logits
    fighter
    -0.69
    monary
    -0.68
     IMAGES
    -0.66
    Wan
    -0.64
    Canadian
    -0.61
     RW
    -0.60
    Country
    -0.60
     TF
    -0.59
     DW
    -0.59
    REF
    -0.59
    POSITIVE LOGITS
    utical
    0.77
    opol
    0.72
    kees
    0.69
    henko
    0.69
    thy
    0.68
    flu
    0.67
    htar
    0.66
    hemy
    0.66
    ocr
    0.65
    iod
    0.65
    Activations Density 0.034%

    No Known Activations