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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. 4041
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    INDEX
    Explanations

    mentions of animals, particularly dogs

    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
    559
    +0.10
    0.4%
    5
    +0.10
    0.4%
    84
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    554
    +0.10
    0.15
    373
    +0.10
    0.02
    745
    +0.10
    0.12
    Negative Logits
    Footnote
    -0.74
     notwithstanding
    -0.72
     Speech
    -0.71
     Moral
    -0.70
     Policies
    -0.68
     GW
    -0.68
     Prelude
    -0.67
     Cheney
    -0.67
     Eisenhower
    -0.66
     Regular
    -0.66
    POSITIVE LOGITS
    ãĤ´ãĥ³
    0.86
    nown
    0.84
    isine
    0.82
    Poké
    0.81
     lapt
    0.80
    escription
    0.79
     corrid
    0.79
    ormal
    0.77
    Ò
    0.76
    AGES
    0.75
    Activations Density 3.397%

    No Known Activations