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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. 3950
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    INDEX
    Explanations

    instances of quantified or measurable attributes in discussions

    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
    41
    +0.11
    0.5%
    391
    +0.10
    0.5%
    522
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    522
    +0.11
    0.05
    492
    +0.10
    0.07
    501
    +0.09
    0.06
    Negative Logits
    negie
    -0.80
    ãĥ¼ãĤ¯
    -0.71
    TPS
    -0.70
     Unch
    -0.69
    ĸļ
    -0.69
     Fritz
    -0.68
    å§
    -0.68
    apult
    -0.66
    Ł
    -0.66
    avage
    -0.65
    POSITIVE LOGITS
     whatsoever
    0.83
    ricular
    0.73
    earances
    0.67
    imester
    0.66
     unmarked
    0.65
     throne
    0.65
     oranges
    0.64
     paradise
    0.60
     Gamble
    0.60
     allegiance
    0.60
    Activations Density 3.419%

    No Known Activations