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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. 3057
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    INDEX
    Explanations

    references to the concept of "least" or "least amount" in various 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
    24
    +0.13
    0.6%
    453
    +0.11
    0.5%
    681
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    38
    +0.13
    0.02
    328
    +0.11
    0.02
    91
    +0.11
    0.02
    Negative Logits
    olver
    -0.81
    enegger
    -0.77
    ould
    -0.71
    ALT
    -0.67
    asers
    -0.66
    unity
    -0.66
    ufficient
    -0.66
    ription
    -0.66
     PLEASE
    -0.66
    positive
    -0.66
    POSITIVE LOGITS
     Rai
    0.66
    ussen
    0.66
     polled
    0.65
     Rebell
    0.64
     millenn
    0.61
     carpet
    0.60
    ISTER
    0.60
    poll
    0.60
     subp
    0.58
    etooth
    0.56
    Activations Density 0.452%

    No Known Activations