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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. 3429
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    INDEX
    Explanations

    various numerical data and references, particularly in a structured format

    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
    390
    +0.11
    0.5%
    638
    +0.10
    0.4%
    592
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    76
    +0.11
    0.01
    164
    +0.10
    0.01
    262
    +0.10
    0.01
    Negative Logits
    adjusted
    -0.80
    efficients
    -0.79
    emies
    -0.74
    repeat
    -0.73
    endix
    -0.71
    Result
    -0.71
    iciency
    -0.70
    assium
    -0.70
    icient
    -0.70
    uterte
    -0.70
    POSITIVE LOGITS
     Faw
    0.79
     Moff
    0.74
    IJ
    0.73
     Pione
    0.65
    Reloaded
    0.63
     Sioux
    0.61
     Tah
    0.61
     Ãĸ
    0.61
     eb
    0.59
     Eb
    0.59
    Activations Density 0.034%

    No Known Activations