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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    5. GPT2-Small
    7. Residual Similar CE E2E Recon
    9. 6-RES_SCEFR-AJT
    11. 2528
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    Explanations

    words related to physical damage, specifically focusing on actions or events involving breaking or destroying something

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scefr-ajt/6-res_scefr-ajt
    Prompts (Dashboard)
    12,288 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    46,080
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    apollo-research/Skylion007-openwebtext-tokenizer-gpt2
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    195
    +0.14
    0.5%
    570
    +0.13
    0.5%
    113
    +0.12
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    113
    +0.14
    0.06
    665
    +0.13
    0.07
    611
    +0.12
    0.06
    Negative Logits
    ña
    -1.00
    erva
    -0.99
    iva
    -0.89
    azor
    -0.87
    sein
    -0.83
    geist
    -0.83
    uana
    -0.83
    umatic
    -0.81
    oka
    -0.81
    ikk
    -0.80
    POSITIVE LOGITS
    neck
    1.22
    fast
    1.05
    red
    0.99
     down
    0.92
    points
    0.90
     loose
    0.90
    breaks
    0.88
     bones
    0.87
    down
    0.86
    break
    0.85
    Activations Density 1.164%

    No Known Activations