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    1. Home
    2. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    3. GPT2-Small
    4. Attention Out - 32k
    5. 3-ATT_32K-OAI
    6. 3771
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    Explanations

    numerical data, especially related to measurements or statistics

    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
    584
    +0.10
    0.4%
    535
    +0.10
    0.4%
    202
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    640
    +0.10
    0.04
    176
    +0.10
    0.03
    220
    +0.09
    0.03
    Negative Logits
     )]
    -0.73
    teness
    -0.67
    ]]
    -0.66
     Breed
    -0.65
     Consent
    -0.65
     BALL
    -0.65
    "],"
    -0.62
    rities
    -0.61
    20439
    -0.60
     ..........
    -0.60
    POSITIVE LOGITS
    lake
    0.70
    insula
    0.70
    joined
    0.67
    duction
    0.66
    venge
    0.66
    upiter
    0.66
    then
    0.66
    lined
    0.66
    Atl
    0.65
     hosp
    0.65
    Activations Density 0.297%

    No Known Activations