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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. 3295
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    INDEX
    Explanations

    structural specifications and features of products

    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
    420
    +0.14
    0.7%
    665
    +0.12
    0.6%
    248
    +0.12
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    339
    +0.14
    0.05
    739
    +0.12
    0.03
    385
    +0.12
    0.06
    Negative Logits
    soDeliveryDate
    -0.94
    dn
    -0.80
    nin
    -0.73
    ribune
    -0.71
    ighters
    -0.70
    fi
    -0.69
    mist
    -0.68
    pict
    -0.68
    tw
    -0.68
    milo
    -0.67
    POSITIVE LOGITS
    uberty
    0.72
     confidentiality
    0.69
     govern
    0.68
    :[
    0.68
    -+-+
    0.67
    \\\\\\\\\\\\\\\\
    0.65
    verages
    0.65
     Regulation
    0.62
     procedural
    0.62
    PDATE
    0.61
    Activations Density 0.652%

    No Known Activations