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    2. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    3. GPT2-Small
    4. Attention Out - 32k
    5. 3-ATT_32K-OAI
    6. 4209
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    INDEX
    Explanations

    references to negative or undesirable qualities, particularly in relation to actions or situations

    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
    280
    +0.13
    0.6%
    250
    +0.11
    0.5%
    175
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    82
    +0.13
    0.02
    381
    +0.11
    0.02
    35
    +0.09
    0.01
    Negative Logits
    anchester
    -0.96
    abama
    -0.87
    uclear
    -0.86
    NetMessage
    -0.82
    ihilation
    -0.77
    iversal
    -0.76
    lication
    -0.75
    atural
    -0.75
    VIDIA
    -0.74
    ampions
    -0.73
    POSITIVE LOGITS
     rotten
    0.90
     swamp
    0.74
     corrupted
    0.72
     Hubbard
    0.67
     rotting
    0.66
     spilled
    0.64
     stub
    0.64
     polluted
    0.64
     Khe
    0.63
     counterfe
    0.63
    Activations Density 0.256%

    No Known Activations